feat(backend): introduce DataManager and multi-provider; analysis orchestration; streaming endpoints; remove legacy tushare_client; enhance logging

feat(frontend): integrate Prisma and reports API/pages

chore(config): add data_sources.yaml; update analysis-config.json

docs: add 2025-11-03 dev log; update user guide

scripts: enhance dev.sh; add tushare_legacy_client

deps: update backend and frontend dependencies

backend/app/data_manager.py

@@ -0,0 +1,164 @@
+import yaml
+import os
+import json
+from typing import Any, Dict, List, Optional
+from app.data_providers.base import BaseDataProvider
+from app.data_providers.tushare import TushareProvider
+# from app.data_providers.ifind import TonghsProvider
+from app.data_providers.yfinance import YfinanceProvider
+from app.data_providers.finnhub import FinnhubProvider
+
+import logging
+
+logger = logging.getLogger(__name__)
+
+class DataManager:
+    _instance = None
+    
+    def __new__(cls, *args, **kwargs):
+        if not cls._instance:
+            cls._instance = super(DataManager, cls).__new__(cls)
+        return cls._instance
+
+    def __init__(self, config_path: str = None):
+        if hasattr(self, '_initialized') and self._initialized:
+            return
+        
+        if config_path is None:
+            # Assume the config file is in the 'config' directory at the root of the repo
+            # Find the project root by looking for the config directory
+            current_dir = os.path.dirname(__file__)
+            while current_dir != os.path.dirname(current_dir):  # Not at filesystem root
+                if os.path.exists(os.path.join(current_dir, "config", "data_sources.yaml")):
+                    REPO_ROOT = current_dir
+                    break
+                current_dir = os.path.dirname(current_dir)
+            else:
+                # Fallback to the original calculation
+                REPO_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", ".."))
+
+            config_path = os.path.join(REPO_ROOT, "config", "data_sources.yaml")
+            
+        with open(config_path, 'r', encoding='utf-8') as f:
+            self.config = yaml.safe_load(f)
+            
+        self.providers = {}
+
+        # Build provider base config from environment variables and config/config.json, then initialize providers
+        base_cfg: Dict[str, Any] = {"data_sources": {}}
+
+        # 1) Prefer env vars when present
+        for name, source_config in (self.config.get('data_sources') or {}).items():
+            env_var = source_config.get('api_key_env')
+            if env_var:
+                api_key = os.getenv(env_var)
+                if api_key:
+                    base_cfg["data_sources"][name] = {"api_key": api_key}
+                else:
+                    logger.warning(f"Env var '{env_var}' for provider '{name}' not set; will try config.json.")
+
+        # 2) Fallback to config/config.json if tokens are provided there
+        try:
+            # Use the same REPO_ROOT calculation as data_sources.yaml
+            current_dir = os.path.dirname(__file__)
+            while current_dir != os.path.dirname(current_dir):  # Not at filesystem root
+                if os.path.exists(os.path.join(current_dir, "config", "data_sources.yaml")):
+                    REPO_ROOT = current_dir
+                    break
+                current_dir = os.path.dirname(current_dir)
+            else:
+                # Fallback to the original calculation
+                REPO_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", ".."))
+
+            cfg_json_path = os.path.join(REPO_ROOT, "config", "config.json")
+            if os.path.exists(cfg_json_path):
+                with open(cfg_json_path, "r", encoding="utf-8") as jf:
+                    cfg_json = json.load(jf)
+                ds_from_json = (cfg_json.get("data_sources") or {})
+                for name, node in ds_from_json.items():
+                    if name not in base_cfg["data_sources"] and node.get("api_key"):
+                        base_cfg["data_sources"][name] = {"api_key": node.get("api_key")}
+                        logger.info(f"Loaded API key for provider '{name}' from config.json")
+            else:
+                logger.debug("config/config.json not found; skipping JSON token load.")
+        except Exception as e:
+            logger.warning(f"Failed to read tokens from config/config.json: {e}")
+            import traceback
+            traceback.print_exc()
+
+        try:
+            self._init_providers(base_cfg)
+        except Exception as e:
+            logger.error(f"Failed to initialize data providers: {e}")
+        
+        self._initialized = True
+
+    def _init_providers(self, base_cfg: Dict[str, Any]) -> None:
+        """
+        Initializes providers with the given base configuration.
+        This method should be called after the base config is loaded.
+        """
+        provider_map = {
+            "tushare": TushareProvider,
+            # "ifind": TonghsProvider,
+            "yfinance": YfinanceProvider,
+            "finnhub": FinnhubProvider,
+        }
+
+        for name, provider_class in provider_map.items():
+            token = None
+            source_config = self.config['data_sources'].get(name, {})
+            if source_config and source_config.get('api_key_env'):
+                token = base_cfg.get("data_sources", {}).get(name, {}).get("api_key")
+            
+            # Initialize the provider if a token is found or not required
+            if token or not source_config.get('api_key_env'):
+                try:
+                    self.providers[name] = provider_class(token=token)
+                except Exception as e:
+                    logger.error(f"Failed to initialize provider '{name}': {e}")
+            else:
+                logger.warning(f"Provider '{name}' requires token env '{source_config.get('api_key_env')}', but none provided. Skipping.")
+            
+    def _detect_market(self, stock_code: str) -> str:
+        if stock_code.endswith(('.SH', '.SZ')):
+            return 'CN'
+        elif stock_code.endswith('.HK'):
+            return 'HK'
+        elif stock_code.endswith('.T'): # Assuming .T for Tokyo
+             return 'JP'
+        else: # Default to US
+            return 'US'
+
+    async def get_data(self, method_name: str, stock_code: str, **kwargs):
+        market = self._detect_market(stock_code)
+        priority_list = self.config.get('markets', {}).get(market, {}).get('priority', [])
+
+        for provider_name in priority_list:
+            provider = self.providers.get(provider_name)
+            if not provider:
+                logger.warning(f"Provider '{provider_name}' not initialized.")
+                continue
+
+            try:
+                method = getattr(provider, method_name)
+                data = await method(stock_code=stock_code, **kwargs)
+                if data is not None and (not isinstance(data, list) or data):
+                    logger.info(f"Data successfully fetched from '{provider_name}' for '{stock_code}'.")
+                    return data
+            except Exception as e:
+                logger.warning(f"Provider '{provider_name}' failed for '{stock_code}': {e}. Trying next provider.")
+        
+        logger.error(f"All data providers failed for '{stock_code}' on method '{method_name}'.")
+        return None
+
+    async def get_financial_statements(self, stock_code: str, report_dates: List[str]) -> List[Dict[str, Any]]:
+        return await self.get_data('get_financial_statements', stock_code, report_dates=report_dates)
+
+    async def get_daily_price(self, stock_code: str, start_date: str, end_date: str) -> List[Dict[str, Any]]:
+        return await self.get_data('get_daily_price', stock_code, start_date=start_date, end_date=end_date)
+        
+    async def get_stock_basic(self, stock_code: str) -> Optional[Dict[str, Any]]:
+        return await self.get_data('get_stock_basic', stock_code)
+
+data_manager = DataManager()

backend/app/data_providers/base.py

@@ -0,0 +1,71 @@
+from abc import ABC, abstractmethod
+from typing import Any, Dict, List, Optional
+
+class BaseDataProvider(ABC):
+    """
+    Abstract base class for all financial data providers.
+    """
+
+    def __init__(self, token: Optional[str] = None):
+        """
+        Initializes the data provider, optionally with an API token.
+        
+        :param token: API token for the data provider, if required.
+        """
+        self.token = token
+        self._initialize()
+
+    def _initialize(self):
+        """
+        Perform any necessary initialization, such as API client setup.
+        This method is called by the constructor.
+        """
+        pass
+
+    @abstractmethod
+    async def get_stock_basic(self, stock_code: str) -> Optional[Dict[str, Any]]:
+        """
+        Fetches basic company information for a given stock code.
+        
+        :param stock_code: The stock identifier.
+        :return: A dictionary with basic company info, or None if not found.
+        """
+        pass
+
+    @abstractmethod
+    async def get_daily_price(self, stock_code: str, start_date: str, end_date: str) -> List[Dict[str, Any]]:
+        """
+        Fetches daily stock prices for a given period.
+        
+        :param stock_code: The stock identifier.
+        :param start_date: The start date of the period (e.g., 'YYYYMMDD').
+        :param end_date: The end date of the period (e.g., 'YYYYMMDD').
+        :return: A list of dictionaries, each representing a day's price data.
+        """
+        pass
+
+    @abstractmethod
+    async def get_financial_statements(self, stock_code: str, report_dates: List[str]) -> List[Dict[str, Any]]:
+        """
+        Fetches financial statements for a list of report dates.
+        
+        This method should aim to fetch data for all requested dates in a single call if possible
+        and then combine them into a unified format.
+        
+        :param stock_code: The stock identifier.
+        :param report_dates: A list of report dates to fetch data for (e.g., ['20231231', '20221231']).
+        :return: A list of dictionaries, each containing financial statement data for a specific period.
+        """
+        pass
+
+    async def get_financial_statement(self, stock_code: str, report_date: str) -> Optional[Dict[str, Any]]:
+        """
+        Fetches a single financial statement for a specific report date.
+        This is a convenience method that can be implemented by calling get_financial_statements.
+        
+        :param stock_code: The stock identifier.
+        :param report_date: The report date for the statement (e.g., '20231231').
+        :return: A dictionary with financial statement data, or None if not found.
+        """
+        results = await self.get_financial_statements(stock_code, [report_date])
+        return results[0] if results else None

backend/app/data_providers/finnhub.py

@@ -0,0 +1,112 @@
+from .base import BaseDataProvider
+from typing import Any, Dict, List, Optional
+import finnhub
+import pandas as pd
+from datetime import datetime, timedelta
+import asyncio
+import logging
+
+logger = logging.getLogger(__name__)
+
+class FinnhubProvider(BaseDataProvider):
+
+    def _initialize(self):
+        if not self.token:
+            raise ValueError("Finnhub API key not provided.")
+        self.client = finnhub.Client(api_key=self.token)
+
+    async def get_stock_basic(self, stock_code: str) -> Optional[Dict[str, Any]]:
+        async def _fetch():
+            try:
+                profile = self.client.company_profile2(symbol=stock_code)
+                if not profile:
+                    return None
+                
+                # Normalize data
+                return {
+                    "ts_code": stock_code,
+                    "name": profile.get("name"),
+                    "area": profile.get("country"),
+                    "industry": profile.get("finnhubIndustry"),
+                    "exchange": profile.get("exchange"),
+                    "ipo_date": profile.get("ipo"),
+                }
+            except Exception as e:
+                logger.error(f"Finnhub get_stock_basic failed for {stock_code}: {e}")
+                return None
+        
+        loop = asyncio.get_event_loop()
+        return await loop.run_in_executor(None, _fetch)
+
+    async def get_daily_price(self, stock_code: str, start_date: str, end_date: str) -> List[Dict[str, Any]]:
+        async def _fetch():
+            try:
+                start_ts = int(datetime.strptime(start_date, '%Y%m%d').timestamp())
+                end_ts = int(datetime.strptime(end_date, '%Y%m%d').timestamp())
+                
+                res = self.client.stock_candles(stock_code, 'D', start_ts, end_ts)
+                if res.get('s') != 'ok':
+                    return []
+                
+                df = pd.DataFrame(res)
+                if df.empty:
+                    return []
+                    
+                # Normalize data
+                df['trade_date'] = pd.to_datetime(df['t'], unit='s').dt.strftime('%Y%m%d')
+                df.rename(columns={
+                    'o': 'open', 'h': 'high', 'l': 'low', 'c': 'close', 'v': 'vol'
+                }, inplace=True)
+                
+                return df[['trade_date', 'open', 'high', 'low', 'close', 'vol']].to_dict('records')
+
+            except Exception as e:
+                logger.error(f"Finnhub get_daily_price failed for {stock_code}: {e}")
+                return []
+        
+        loop = asyncio.get_event_loop()
+        return await loop.run_in_executor(None, _fetch)
+
+    async def get_financial_statements(self, stock_code: str, report_dates: List[str]) -> List[Dict[str, Any]]:
+        async def _fetch():
+            try:
+                # Finnhub provides financials as a whole, not by specific date ranges in one call
+                # We fetch all available and then filter.
+                # Note: 'freq' can be 'annual' or 'quarterly'. We'll use annual.
+                res = self.client.financials_reported(symbol=stock_code, freq='annual')
+                if not res or not res.get('data'):
+                    return []
+
+                df = pd.DataFrame(res['data'])
+
+                # Filter by requested dates
+                years_to_fetch = {date[:4] for date in report_dates}
+                df = df[df['year'].astype(str).isin(years_to_fetch)]
+
+                # The data is deeply nested in 'report'. We need to extract and pivot it.
+                all_reports = []
+                for index, row in df.iterrows():
+                    report_data = {'ts_code': stock_code, 'end_date': row['endDate']}
+                    
+                    # Extract concepts from balance sheet, income statement, and cash flow
+                    for item in row['report'].get('bs', []):
+                        report_data[item['concept']] = item['value']
+                    for item in row['report'].get('ic', []):
+                        report_data[item['concept']] = item['value']
+                    for item in row['report'].get('cf', []):
+                        report_data[item['concept']] = item['value']
+                    
+                    all_reports.append(report_data)
+
+                # Further normalization of keys would be needed here to match a common format
+                # e.g. 'AssetsTotal' -> 'total_assets'
+                # This is a complex task and depends on the desired final schema.
+                
+                return all_reports
+
+            except Exception as e:
+                logger.error(f"Finnhub get_financial_statements failed for {stock_code}: {e}")
+                return []
+        
+        loop = asyncio.get_event_loop()
+        return await loop.run_in_executor(None, _fetch)

backend/app/data_providers/ifind.py

@@ -0,0 +1,131 @@
+from .base import BaseDataProvider
+from typing import Any, Dict, List, Optional
+import pandas as pd
+from datetime import datetime
+
+# 假设 iFinDPy 库已安装在环境中
+# 重要提示: 用户需要根据官方文档手动安装 iFinDPy
+try:
+    from iFinDPy import THS_iFinDLogin, THS_BD, THS_HQ
+except ImportError:
+    print("错误: iFinDPy 模块未找到。请确保已按照同花顺官方指引完成安装。")
+    # 定义虚拟函数以避免在未安装时程序崩溃
+    def THS_iFinDLogin(*args, **kwargs): return -1
+    def THS_BD(*args, **kwargs): return pd.DataFrame()
+    def THS_HQ(*args, **kwargs): return pd.DataFrame()
+
+
+class TonghsProvider(BaseDataProvider):
+    _is_logged_in = False
+
+    def __init__(self, token: Optional[str] = None):
+        # 使用从 iFinD 用户中心获取的 Refresh Token 进行登录
+        if not TonghsProvider._is_logged_in:
+            if not token:
+                raise ValueError("同花顺 iFinDPy Refresh Token 未在配置中提供。")
+            
+            # 调用登录函数，直接传入 token
+            # 注意: 具体的关键字参数名可能需要根据 iFinDPy 的实际文档确认，这里假设为 'token' 或直接作为第一个参数
+            login_result = THS_iFinDLogin(token)
+            
+            if login_result == 0:
+                print("同花顺 iFinDPy 登录成功。")
+                TonghsProvider._is_logged_in = True
+            else:
+                print(f"同花顺 iFinDPy 登录失败，错误码: {login_result}")
+                raise ConnectionError("无法登录到同花顺 iFinDPy 服务，请检查您的 Refresh Token 是否正确。")
+
+    async def get_stock_basic(self, stock_code: str) -> Optional[Dict[str, Any]]:
+        try:
+            # TODO: 请用户确认用于获取公司基本信息的指标 (indicators)
+            indicators = "ths_stock_short_name_stock;ths_listed_market_stock;ths_industry_stock;ths_ipo_date_stock"
+            data = THS_BD(stock_code, indicators, "")
+            
+            if data.empty:
+                return None
+                
+            # --- 数据归一化 ---
+            # iFinDPy 返回的数据通常是 DataFrame，我们需要将其转换为字典
+            info = data.iloc[0].to_dict()
+
+            return {
+                "ts_code": stock_code,
+                "name": info.get("ths_stock_short_name_stock"),
+                "area": info.get("ths_listed_market_stock"),
+                "industry": info.get("ths_industry_stock"),
+                "list_date": info.get("ths_ipo_date_stock"),
+            }
+        except Exception as e:
+            print(f"同花顺 iFinDPy get_stock_basic 执行失败, 股票代码 {stock_code}: {e}")
+            return None
+
+    async def get_daily_price(self, stock_code: str, start_date: str, end_date: str) -> List[Dict[str, Any]]:
+        try:
+            # TODO: 请用户确认用于获取日线行情的指标
+            indicators = "open;high;low;close;volume"
+            # iFinDPy 的日期格式通常是 YYYY-MM-DD
+            date_range = f"{start_date};{end_date}"
+            
+            data = THS_HQ(stock_code, indicators, date_range)
+            
+            if data.empty:
+                return []
+            
+            # --- 数据归一化 ---
+            data = data.reset_index()
+            data.rename(columns={
+                "time": "trade_date",
+                "open": "open",
+                "high": "high",
+                "low": "low",
+                "close": "close",
+                "volume": "vol"
+            }, inplace=True)
+            
+            return data.to_dict('records')
+        except Exception as e:
+            print(f"同花顺 iFinDPy get_daily_price 执行失败, 股票代码 {stock_code}: {e}")
+            return []
+
+    async def get_financial_statements(self, stock_code: str, report_dates: List[str]) -> List[Dict[str, Any]]:
+        try:
+            # TODO: 请用户确认获取财务报表的指标
+            # 这可能需要多次调用 THS_BD 并合并结果
+            
+            # 示例：一次性获取多个报告期的数据
+            # 将 report_dates 转换为 iFinDPy 接受的格式，例如 "2022-12-31;2021-12-31"
+            dates_param = ";".join(report_dates)
+            
+            # 需要的指标
+            income_indicators = "ths_np_stock" # 净利润
+            bs_indicators = "ths_total_assets_stock;ths_total_liab_stock" # 总资产;总负债
+            revenue_indicators = "ths_revenue_stock" # 营业收入
+
+            # 获取数据
+            income_data = THS_BD(stock_code, income_indicators, f"reportDate={dates_param}")
+            bs_data = THS_BD(stock_code, bs_indicators, f"reportDate={dates_param}")
+            revenue_data = THS_BD(stock_code, revenue_indicators, f"reportDate={dates_param}")
+
+            # 合并数据
+            financials_df = pd.concat([income_data, bs_data, revenue_data], axis=1)
+            financials_df = financials_df.loc[:,~financials_df.columns.duplicated()]
+            financials_df = financials_df.reset_index().rename(columns={"index": "end_date"})
+
+            # --- 数据归一化 ---
+            financials_df.rename(columns={
+                "ths_revenue_stock": "revenue",
+                "ths_np_stock": "net_income",
+                "ths_total_assets_stock": "total_assets",
+                "ths_total_liab_stock": "total_liabilities",
+            }, inplace=True)
+            
+            financials_df["ts_code"] = stock_code
+            
+            return financials_df.to_dict('records')
+        except Exception as e:
+            print(f"同花顺 iFinDPy get_financial_statements 执行失败, 股票代码 {stock_code}: {e}")
+            return []
+
+    async def get_financial_statement(self, stock_code: str, report_date: str) -> Optional[Dict[str, Any]]:
+        results = await self.get_financial_statements(stock_code, [report_date])
+        return results[0] if results else None

backend/app/data_providers/tushare.py

@@ -0,0 +1,132 @@
+from .base import BaseDataProvider
+from typing import Any, Dict, List, Optional
+import httpx
+import logging
+import asyncio
+
+logger = logging.getLogger(__name__)
+
+TUSHARE_PRO_URL = "https://api.tushare.pro"
+
+class TushareProvider(BaseDataProvider):
+    
+    def _initialize(self):
+        if not self.token:
+            raise ValueError("Tushare API token not provided.")
+        # Use httpx.AsyncClient directly
+        self._client = httpx.AsyncClient(timeout=30)
+
+    async def _query(
+        self,
+        api_name: str,
+        params: Optional[Dict[str, Any]] = None,
+        fields: Optional[str] = None,
+    ) -> List[Dict[str, Any]]:
+        payload = {
+            "api_name": api_name,
+            "token": self.token,
+            "params": params or {},
+        }
+        if "limit" not in payload["params"]:
+            payload["params"]["limit"] = 5000
+        if fields:
+            payload["fields"] = fields
+
+        logger.info(f"Querying Tushare API '{api_name}' with params: {params}")
+
+        try:
+            resp = await self._client.post(TUSHARE_PRO_URL, json=payload)
+            resp.raise_for_status()
+            data = resp.json()
+            
+            if data.get("code") != 0:
+                err_msg = data.get("msg") or "Unknown Tushare error"
+                logger.error(f"Tushare API error for '{api_name}': {err_msg}")
+                raise RuntimeError(f"{api_name}: {err_msg}")
+                
+            fields_def = data.get("data", {}).get("fields", [])
+            items = data.get("data", {}).get("items", [])
+            
+            rows: List[Dict[str, Any]] = []
+            for it in items:
+                row = {fields_def[i]: it[i] for i in range(len(fields_def))}
+                rows.append(row)
+                
+            logger.info(f"Tushare API '{api_name}' returned {len(rows)} rows.")
+            return rows
+
+        except httpx.HTTPStatusError as e:
+            logger.error(f"HTTP error calling Tushare API '{api_name}': {e.response.status_code} - {e.response.text}")
+            raise
+        except Exception as e:
+            logger.error(f"Exception calling Tushare API '{api_name}': {e}")
+            raise
+
+    async def get_stock_basic(self, stock_code: str) -> Optional[Dict[str, Any]]:
+        try:
+            rows = await self._query(
+                api_name="stock_basic",
+                params={"ts_code": stock_code},
+            )
+            return rows[0] if rows else None
+        except Exception as e:
+            logger.error(f"Tushare get_stock_basic failed for {stock_code}: {e}")
+            return None
+
+    async def get_daily_price(self, stock_code: str, start_date: str, end_date: str) -> List[Dict[str, Any]]:
+        try:
+            return await self._query(
+                api_name="daily",
+                params={
+                    "ts_code": stock_code,
+                    "start_date": start_date,
+                    "end_date": end_date,
+                },
+            )
+        except Exception as e:
+            logger.error(f"Tushare get_daily_price failed for {stock_code}: {e}")
+            return []
+
+    async def get_financial_statements(self, stock_code: str, report_dates: List[str]) -> List[Dict[str, Any]]:
+        all_statements: List[Dict[str, Any]] = []
+        for date in report_dates:
+            logger.info(f"Fetching financial statements for {stock_code}, report date: {date}")
+            try:
+                bs_rows, ic_rows, cf_rows = await asyncio.gather(
+                    self._query(
+                        api_name="balancesheet",
+                        params={"ts_code": stock_code, "period": date, "report_type": 1},
+                    ),
+                    self._query(
+                        api_name="income",
+                        params={"ts_code": stock_code, "period": date, "report_type": 1},
+                    ),
+                    self._query(
+                        api_name="cashflow",
+                        params={"ts_code": stock_code, "period": date, "report_type": 1},
+                    )
+                )
+
+                if not bs_rows and not ic_rows and not cf_rows:
+                    logger.warning(f"No financial statements components found from Tushare for {stock_code} on {date}")
+                    continue
+
+                merged: Dict[str, Any] = {"ts_code": stock_code, "end_date": date}
+                bs_data = bs_rows[0] if bs_rows else {}
+                ic_data = ic_rows[0] if ic_rows else {}
+                cf_data = cf_rows[0] if cf_rows else {}
+
+                merged.update(bs_data)
+                merged.update(ic_data)
+                merged.update(cf_data)
+                
+                merged["end_date"] = merged.get("end_date") or merged.get("period") or date
+                logger.debug(f"Merged statement for {date} has keys: {list(merged.keys())}")
+
+                all_statements.append(merged)
+            except Exception as e:
+                logger.error(f"Tushare get_financial_statement failed for {stock_code} on {date}: {e}")
+                continue
+        
+        logger.info(f"Successfully fetched {len(all_statements)} statement(s) for {stock_code}.")
+        return all_statements

backend/app/data_providers/yfinance.py

@@ -0,0 +1,114 @@
+from .base import BaseDataProvider
+from typing import Any, Dict, List, Optional
+import yfinance as yf
+import pandas as pd
+from datetime import datetime
+import asyncio
+import logging
+
+logger = logging.getLogger(__name__)
+
+class YfinanceProvider(BaseDataProvider):
+
+    def _map_stock_code(self, stock_code: str) -> str:
+        # yfinance uses different tickers for CN market
+        if stock_code.endswith('.SH'):
+            return stock_code.replace('.SH', '.SS')
+        elif stock_code.endswith('.SZ'):
+            # For Shenzhen stocks, try without suffix first, then with .SZ
+            base_code = stock_code.replace('.SZ', '')
+            return base_code  # Try without suffix first
+        return stock_code
+
+    async def get_stock_basic(self, stock_code: str) -> Optional[Dict[str, Any]]:
+        async def _fetch():
+            try:
+                ticker = yf.Ticker(self._map_stock_code(stock_code))
+                info = ticker.info
+                
+                # Normalize data to match expected format
+                return {
+                    "ts_code": stock_code,
+                    "name": info.get("longName"),
+                    "area": info.get("country"),
+                    "industry": info.get("industry"),
+                    "market": info.get("market"),
+                    "exchange": info.get("exchange"),
+                    "list_date": datetime.fromtimestamp(info.get("firstTradeDateEpoch", 0)).strftime('%Y%m%d') if info.get("firstTradeDateEpoch") else None,
+                }
+            except Exception as e:
+                logger.error(f"yfinance get_stock_basic failed for {stock_code}: {e}")
+                return None
+        
+        loop = asyncio.get_event_loop()
+        return await loop.run_in_executor(None, _fetch)
+
+    async def get_daily_price(self, stock_code: str, start_date: str, end_date: str) -> List[Dict[str, Any]]:
+        async def _fetch():
+            try:
+                # yfinance date format is YYYY-MM-DD
+                start_fmt = datetime.strptime(start_date, '%Y%m%d').strftime('%Y-%m-%d')
+                end_fmt = datetime.strptime(end_date, '%Y%m%d').strftime('%Y-%m-%d')
+                
+                ticker = yf.Ticker(self._map_stock_code(stock_code))
+                df = ticker.history(start=start_fmt, end=end_fmt)
+                
+                df.reset_index(inplace=True)
+                # Normalize column names
+                df.rename(columns={
+                    "Date": "trade_date",
+                    "Open": "open", "High": "high", "Low": "low", "Close": "close",
+                    "Volume": "vol"
+                }, inplace=True)
+                df['trade_date'] = df['trade_date'].dt.strftime('%Y%m%d')
+                return df.to_dict('records')
+            except Exception as e:
+                logger.error(f"yfinance get_daily_price failed for {stock_code}: {e}")
+                return []
+
+        loop = asyncio.get_event_loop()
+        return await loop.run_in_executor(None, _fetch)
+
+    async def get_financial_statements(self, stock_code: str, report_dates: List[str]) -> List[Dict[str, Any]]:
+        def _fetch():
+            try:
+                ticker = yf.Ticker(self._map_stock_code(stock_code))
+
+                # yfinance provides financials quarterly or annually. We'll fetch annually and try to match the dates.
+                # Note: This is an approximation as yfinance does not allow fetching by specific end-of-year dates.
+                df_financials = ticker.financials.transpose()
+                df_balance = ticker.balance_sheet.transpose()
+                df_cashflow = ticker.cash_flow.transpose()
+
+                if df_financials.empty and df_balance.empty and df_cashflow.empty:
+                    return []
+
+                # Combine the data
+                df_combined = pd.concat([df_financials, df_balance, df_cashflow], axis=1)
+                df_combined.index.name = 'end_date'
+                df_combined.reset_index(inplace=True)
+                df_combined['end_date_str'] = df_combined['end_date'].dt.strftime('%Y%m%d')
+
+                # Filter by requested dates (allowing for some flexibility if exact match not found)
+                # This simplistic filtering might need to be more robust.
+                # For now, we assume the yearly data maps to the year in report_dates.
+                years_to_fetch = {date[:4] for date in report_dates}
+                df_combined = df_combined[df_combined['end_date'].dt.year.astype(str).isin(years_to_fetch)]
+
+                # Data Normalization (yfinance columns are different from Tushare)
+                # This is a sample, a more comprehensive mapping would be required.
+                df_combined.rename(columns={
+                    "Total Revenue": "revenue",
+                    "Net Income": "net_income",
+                    "Total Assets": "total_assets",
+                    "Total Liab": "total_liabilities",
+                }, inplace=True, errors='ignore')
+
+                return df_combined.to_dict('records')
+
+            except Exception as e:
+                logger.error(f"yfinance get_financial_statements failed for {stock_code}: {e}")
+                return []
+
+        loop = asyncio.get_event_loop()
+        return await loop.run_in_executor(None, _fetch)

backend/app/main.py

@@ -9,12 +9,32 @@ from app.core.config import settings
 from app.routers.config import router as config_router
 from app.routers.financial import router as financial_router
 
-# Configure logging
+# Configure logging to ensure our app logs show up in development
-logging.basicConfig(
+import sys
-    level=logging.INFO,
+
-    format='%(asctime)s - %(levelname)s: %(message)s',
+# Force our logging configuration to override uvicorn's
-    datefmt='%H:%M:%S'
+class ForcefulHandler(logging.Handler):
-)
+    def emit(self, record):
+        # Force output to stdout regardless of uvicorn's configuration
+        print(f"[APP] {record.getMessage()}", file=sys.stdout, flush=True)
+
+# Set up our forceful handler for data providers
+forceful_handler = ForcefulHandler()
+forceful_handler.setLevel(logging.DEBUG)
+
+# Configure data providers logger with forceful output
+data_providers_logger = logging.getLogger('app.data_providers')
+data_providers_logger.setLevel(logging.DEBUG)
+data_providers_logger.addHandler(forceful_handler)
+
+# Also set up for the main app logger
+app_logger = logging.getLogger('app')
+app_logger.setLevel(logging.INFO)
+app_logger.addHandler(forceful_handler)
+
+# Ensure our handlers are not suppressed
+data_providers_logger.propagate = False
+app_logger.propagate = False
 
 app = FastAPI(title=settings.APP_NAME, version=settings.APP_VERSION)
 

backend/app/routers/financial.py

@@ -9,7 +9,6 @@ from typing import Dict, List
 
 from fastapi import APIRouter, HTTPException, Query
 from fastapi.responses import StreamingResponse
-import os
 
 from app.core.config import settings
 from app.schemas.financial import (
@@ -21,10 +20,29 @@ from app.schemas.financial import (
     AnalysisResponse,
     AnalysisConfigResponse
 )
-from app.services.tushare_client import TushareClient
 from app.services.company_profile_client import CompanyProfileClient
 from app.services.analysis_client import AnalysisClient, load_analysis_config, get_analysis_config
 
+# Lazy DataManager loader to avoid import-time failures when optional providers/config are missing
+_dm = None
+def get_dm():
+    global _dm
+    if _dm is not None:
+        return _dm
+    try:
+        from app.data_manager import data_manager as real_dm
+        _dm = real_dm
+        return _dm
+    except Exception:
+        class _StubDM:
+            config = {}
+            async def get_stock_basic(self, stock_code: str):
+                return None
+            async def get_financial_statements(self, stock_code: str, report_dates):
+                return []
+        _dm = _StubDM()
+        return _dm
+
 router = APIRouter()
 
 # Load metric config from file (project root is repo root, not backend/)
@@ -45,6 +63,22 @@ def _load_json(path: str) -> Dict:
         return {}
 
 
+@router.get("/data-sources", response_model=Dict[str, List[str]])
+async def get_data_sources():
+    """
+    Get the list of data sources that require an API key from the config.
+    """
+    try:
+        data_sources_config = get_dm().config.get("data_sources", {})
+        sources_requiring_keys = [
+            source for source, config in data_sources_config.items()
+            if config.get("api_key_env")
+        ]
+        return {"sources": sources_requiring_keys}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Failed to load data sources configuration: {e}")
+
+
 @router.post("/china/{ts_code}/analysis", response_model=List[AnalysisResponse])
 async def generate_full_analysis(
     ts_code: str,
@@ -150,13 +184,12 @@ async def generate_full_analysis(
     if not company_name:
         logger.info(f"[API] Fetching company name for {ts_code}")
         try:
-            token = base_cfg.get("data_sources", {}).get("tushare", {}).get("api_key")
+            basic_data = await get_dm().get_stock_basic(stock_code=ts_code)
-            if token:
+            if basic_data:
-                tushare_client = TushareClient(token=token)
+                company_name = basic_data.get("name", ts_code)
-                basic_data = await tushare_client.query(api_name="stock_basic", params={"ts_code": ts_code}, fields="ts_code,name")
+                logger.info(f"[API] Got company name: {company_name}")
-                if basic_data:
+            else:
-                    company_name = basic_data[0].get("name", ts_code)
+                company_name = ts_code
-                    logger.info(f"[API] Got company name: {company_name}")
         except Exception as e:
             logger.warning(f"Failed to get company name, proceeding with ts_code. Error: {e}")
             company_name = ts_code
@@ -228,176 +261,82 @@ async def get_china_financials(
     ts_code: str,
     years: int = Query(5, ge=1, le=15),
 ):
-    # Load Tushare token
-    base_cfg = _load_json(BASE_CONFIG_PATH)
-    token = (
-        os.environ.get("TUSHARE_TOKEN")
-        or settings.TUSHARE_TOKEN
-        or base_cfg.get("data_sources", {}).get("tushare", {}).get("api_key")
-    )
-    if not token:
-        raise HTTPException(status_code=500, detail="Tushare API token not configured. Set TUSHARE_TOKEN env or config/config.json data_sources.tushare.api_key")
-
     # Load metric config
     fin_cfg = _load_json(FINANCIAL_CONFIG_PATH)
     api_groups: Dict[str, List[Dict]] = fin_cfg.get("api_groups", {})
 
-    client = TushareClient(token=token)
-
     # Meta tracking
     started_real = datetime.now(timezone.utc)
     started = time.perf_counter_ns()
-    api_calls_total = 0
+    api_calls_total = 0 # This will be harder to track now, maybe DataManager should provide it
     api_calls_by_group: Dict[str, int] = {}
     steps: List[StepRecord] = []
-    current_action = "初始化"
+    
-
+    # Get company name
-    # Get company name from stock_basic API
+    company_name = ts_code
-    company_name = None
     try:
-        basic_data = await client.query(api_name="stock_basic", params={"ts_code": ts_code}, fields="ts_code,name")
+        basic_data = await get_dm().get_stock_basic(stock_code=ts_code)
-        api_calls_total += 1
+        if basic_data:
-        if basic_data and len(basic_data) > 0:
+            company_name = basic_data.get("name", ts_code)
-            company_name = basic_data[0].get("name")
     except Exception:
-        # If getting company name fails, continue without it
+        pass # Continue without it
-        pass
 
     # Collect series per metric key
     series: Dict[str, List[Dict]] = {}
-
-    # Helper to store year-value pairs while keeping most recent per year
-    def _merge_year_value(key: str, year: str, value, month: int = None):
-        arr = series.setdefault(key, [])
-        # upsert by year
-        for item in arr:
-            if item["year"] == year:
-                item["value"] = value
-                if month is not None:
-                    item["month"] = month
-                return
-        arr.append({"year": year, "value": value, "month": month})
-
-    # Query each API group we care
     errors: Dict[str, str] = {}
-    for group_name, metrics in api_groups.items():
+    
-        step = StepRecord(
+    # Generate date range for financial statements
-            name=f"拉取 {group_name}",
+    current_year = datetime.now().year
-            start_ts=started_real.isoformat(),
+    report_dates = [f"{year}1231" for year in range(current_year - years, current_year + 1)]
-            status="running",
-        )
-        steps.append(step)
-        current_action = step.name
-        if not metrics:
-            continue
-        
-        # 按 API 分组 metrics（处理 unknown 组中有多个不同 API 的情况）
-        api_groups_dict: Dict[str, List[Dict]] = {}
-        for metric in metrics:
-            api = metric.get("api") or group_name
-            if api:  # 跳过空 API
-                if api not in api_groups_dict:
-                    api_groups_dict[api] = []
-                api_groups_dict[api].append(metric)
-        
-        # 对每个 API 分别处理
-        for api_name, api_metrics in api_groups_dict.items():
-            fields = [m.get("tushareParam") for m in api_metrics if m.get("tushareParam")]
-            if not fields:
-                continue
 
-            date_field = "end_date" if group_name in ("fina_indicator", "income", "balancesheet", "cashflow") else "trade_date"
+    # Fetch all financial statements at once
-            
+    step_financials = StepRecord(name="拉取财务报表", start_ts=started_real.isoformat(), status="running")
-            # 构建 API 参数
+    steps.append(step_financials)
-            params = {"ts_code": ts_code, "limit": 5000}
+    
-            
+    all_financial_data = await get_dm().get_financial_statements(stock_code=ts_code, report_dates=report_dates)
-            # 对于需要日期范围的 API（如 stk_holdernumber），添加日期参数
+    
-            if api_name == "stk_holdernumber":
+    if all_financial_data:
-                # 计算日期范围：从 years 年前到现在
+        # Process financial data into the 'series' format
-                end_date = datetime.now().strftime("%Y%m%d")
+        for report in all_financial_data:
-                start_date = (datetime.now() - timedelta(days=years * 365)).strftime("%Y%m%d")
+            year = report.get("end_date", "")[:4]
-                params["start_date"] = start_date
+            for key, value in report.items():
-                params["end_date"] = end_date
+                # Skip non-numeric fields like ts_code, end_date, ann_date, etc.
-                # stk_holdernumber 返回的日期字段通常是 end_date
+                if key in ['ts_code', 'end_date', 'ann_date', 'f_ann_date', 'report_type', 'comp_type', 'end_type', 'update_flag']:
-                date_field = "end_date"
+                    continue
-            
-            # 对于非时间序列 API（如 stock_company），标记为静态数据
-            is_static_data = api_name == "stock_company"
-            
-            # 构建 fields 字符串：包含日期字段和所有需要的指标字段
-            # 确保日期字段存在，因为我们需要用它来确定年份
-            fields_list = list(fields)
-            if date_field not in fields_list:
-                fields_list.insert(0, date_field)
-            # 对于 fina_indicator 等 API，通常还需要 ts_code 和 ann_date
-            if api_name in ("fina_indicator", "income", "balancesheet", "cashflow"):
-                for req_field in ["ts_code", "ann_date"]:
-                    if req_field not in fields_list:
-                        fields_list.insert(0, req_field)
-            fields_str = ",".join(fields_list)
-            
-            try:
-                data_rows = await client.query(api_name=api_name, params=params, fields=fields_str)
-                api_calls_total += 1
-                api_calls_by_group[group_name] = api_calls_by_group.get(group_name, 0) + 1
-            except Exception as e:
-                # 记录错误但继续处理其他 API
-                error_key = f"{group_name}_{api_name}"
-                errors[error_key] = str(e)
-                continue
 
-            tmp: Dict[str, Dict] = {}
+                # Only include numeric values
-            current_year = datetime.now().strftime("%Y")
+                if isinstance(value, (int, float)) and value is not None:
-            
+                    if key not in series:
-            for row in data_rows:
+                        series[key] = []
-                if is_static_data:
+
-                    # 对于静态数据（如 stock_company），使用当前年份
+                    # Avoid duplicates for the same year
-                    # 只处理第一行数据，因为静态数据通常只有一行
+                    if not any(d['year'] == year for d in series[key]):
-                    if current_year not in tmp:
+                        series[key].append({"year": year, "value": value})
-                        year = current_year
+    else:
-                        month = None
+        errors["financial_statements"] = "Failed to fetch from all providers."
-                        tmp[year] = row
+
-                        tmp[year]['_month'] = month
+    step_financials.status = "done"
-                    # 跳过后续行
+    step_financials.end_ts = datetime.now(timezone.utc).isoformat()
-                    continue
+    step_financials.duration_ms = int((time.perf_counter_ns() - started) / 1_000_000)
-                else:
+    
-                    # 对于时间序列数据，按日期字段处理
+    # --- Potentially fetch other data types like daily prices if needed by config ---
-                    date_val = row.get(date_field)
+    # This part is simplified. The original code had complex logic for different api_groups.
-                    if not date_val:
+    # We will assume for now that the main data comes from financial_statements.
-                        continue
+    # The logic can be extended here to call other data_manager methods based on `fin_cfg`.
-                    year = str(date_val)[:4]
-                    month = int(str(date_val)[4:6]) if len(str(date_val)) >= 6 else None
-                    existing = tmp.get(year)
-                    if existing is None or str(row.get(date_field)) > str(existing.get(date_field)):
-                        tmp[year] = row
-                        tmp[year]['_month'] = month
-            
-            for metric in api_metrics:
-                key = metric.get("tushareParam")
-                if not key:
-                    continue
-                for year, row in tmp.items():
-                    month = row.get('_month')
-                    _merge_year_value(key, year, row.get(key), month)
-        
-        step.status = "done"
-        step.end_ts = datetime.now(timezone.utc).isoformat()
-        step.duration_ms = int((time.perf_counter_ns() - started) / 1_000_000)
 
     finished_real = datetime.now(timezone.utc)
     elapsed_ms = int((time.perf_counter_ns() - started) / 1_000_000)
 
     if not series:
-        # If nothing succeeded, expose partial error info
+        raise HTTPException(status_code=502, detail={"message": "No data returned from any data source", "errors": errors})
-        raise HTTPException(status_code=502, detail={"message": "No data returned from Tushare", "errors": errors})
 
-    # Truncate years and sort
+    # Truncate years and sort (the data should already be mostly correct, but we ensure)
     for key, arr in series.items():
         # Deduplicate and sort desc by year, then cut to requested years, and return asc
         uniq = {item["year"]: item for item in arr}
         arr_sorted_desc = sorted(uniq.values(), key=lambda x: x["year"], reverse=True)
         arr_limited = arr_sorted_desc[:years]
-        arr_sorted = sorted(arr_limited, key=lambda x: x["year"])  # ascending by year
+        arr_sorted = sorted(arr_limited, key=lambda x: x["year"])
         series[key] = arr_sorted
 
     meta = FinancialMeta(
@@ -452,21 +391,10 @@ async def get_company_profile(
         logger.info(f"[API] Fetching company name for {ts_code}")
         # Try to get from stock_basic API
         try:
-            base_cfg = _load_json(BASE_CONFIG_PATH)
+            basic_data = await get_dm().get_stock_basic(stock_code=ts_code)
-            token = (
+            if basic_data:
-                os.environ.get("TUSHARE_TOKEN")
+                company_name = basic_data.get("name", ts_code)
-                or settings.TUSHARE_TOKEN
+                logger.info(f"[API] Got company name: {company_name}")
-                or base_cfg.get("data_sources", {}).get("tushare", {}).get("api_key")
-            )
-            if token:
-                from app.services.tushare_client import TushareClient
-                tushare_client = TushareClient(token=token)
-                basic_data = await tushare_client.query(api_name="stock_basic", params={"ts_code": ts_code}, fields="ts_code,name")
-                if basic_data and len(basic_data) > 0:
-                    company_name = basic_data[0].get("name", ts_code)
-                    logger.info(f"[API] Got company name: {company_name}")
-                else:
-                    company_name = ts_code
             else:
                 company_name = ts_code
         except Exception as e:
@@ -588,76 +516,25 @@ async def generate_analysis(
     if not company_name:
         logger.info(f"[API] Fetching company name and financial data for {ts_code}")
         try:
-            token = (
+            basic_data = await get_dm().get_stock_basic(stock_code=ts_code)
-                os.environ.get("TUSHARE_TOKEN")
+            if basic_data:
-                or settings.TUSHARE_TOKEN
+                company_name = basic_data.get("name", ts_code)
-                or base_cfg.get("data_sources", {}).get("tushare", {}).get("api_key")
+                logger.info(f"[API] Got company name: {company_name}")
-            )
-            if token:
-                tushare_client = TushareClient(token=token)
-                basic_data = await tushare_client.query(api_name="stock_basic", params={"ts_code": ts_code}, fields="ts_code,name")
-                if basic_data and len(basic_data) > 0:
-                    company_name = basic_data[0].get("name", ts_code)
-                    logger.info(f"[API] Got company name: {company_name}")
                     
-                    # Try to get financial data for context
+                # Try to get financial data for context
-                    try:
+                try:
-                        fin_cfg = _load_json(FINANCIAL_CONFIG_PATH)
+                    # A simplified approach to get the latest year's financial data
-                        api_groups = fin_cfg.get("api_groups", {})
+                    current_year = datetime.now().year
-                        
+                    report_dates = [f"{current_year-1}1231"] # Get last year's report
-                        # Get financial data summary for context
+                    latest_financials = await get_dm().get_financial_statements(
-                        series: Dict[str, List[Dict]] = {}
+                        stock_code=ts_code, 
-                        for group_name, metrics in api_groups.items():
+                        report_dates=report_dates
-                            if not metrics:
+                    )
-                                continue
+                    if latest_financials:
-                            api_groups_dict: Dict[str, List[Dict]] = {}
+                        financial_data = {"series": latest_financials[0]}
-                            for metric in metrics:
+                except Exception as e:
-                                api = metric.get("api") or group_name
+                    logger.warning(f"[API] Failed to get financial data: {e}")
-                                if api:
+                    financial_data = None
-                                    if api not in api_groups_dict:
-                                        api_groups_dict[api] = []
-                                    api_groups_dict[api].append(metric)
-                            
-                            for api_name, api_metrics in api_groups_dict.items():
-                                fields = [m.get("tushareParam") for m in api_metrics if m.get("tushareParam")]
-                                if not fields:
-                                    continue
-                                
-                                date_field = "end_date" if group_name in ("fina_indicator", "income", "balancesheet", "cashflow") else "trade_date"
-                                
-                                params = {"ts_code": ts_code, "limit": 500}
-                                fields_list = list(fields)
-                                if date_field not in fields_list:
-                                    fields_list.insert(0, date_field)
-                                if api_name in ("fina_indicator", "income", "balancesheet", "cashflow"):
-                                    for req_field in ["ts_code", "ann_date"]:
-                                        if req_field not in fields_list:
-                                            fields_list.insert(0, req_field)
-                                fields_str = ",".join(fields_list)
-                                
-                                try:
-                                    data_rows = await tushare_client.query(api_name=api_name, params=params, fields=fields_str)
-                                    if data_rows:
-                                        # Get latest year's data
-                                        latest_row = data_rows[0] if data_rows else {}
-                                        for metric in api_metrics:
-                                            key = metric.get("tushareParam")
-                                            if key and key in latest_row:
-                                                if key not in series:
-                                                    series[key] = []
-                                                series[key].append({
-                                                    "year": latest_row.get(date_field, "")[:4] if latest_row.get(date_field) else str(datetime.now().year),
-                                                    "value": latest_row.get(key)
-                                                })
-                                except Exception:
-                                    pass
-                        
-                        financial_data = {"series": series}
-                    except Exception as e:
-                        logger.warning(f"[API] Failed to get financial data: {e}")
-                        financial_data = None
-                else:
-                    company_name = ts_code
             else:
                 company_name = ts_code
         except Exception as e:
@@ -755,3 +632,130 @@ async def generate_analysis(
         success=result.get("success", False),
         error=result.get("error")
     )
+
+
+@router.get("/china/{ts_code}/analysis/{analysis_type}/stream")
+async def stream_analysis(
+    ts_code: str,
+    analysis_type: str,
+    company_name: str = Query(None, description="Company name for better context"),
+):
+    """
+    Stream analysis content chunks for a given module using OpenAI-compatible streaming.
+    Plain text streaming (text/plain; utf-8). Dependencies are resolved first (non-stream),
+    then the target module content is streamed.
+    """
+    import logging
+    logger = logging.getLogger(__name__)
+
+    logger.info(f"[API] Streaming analysis requested for {ts_code}, type: {analysis_type}")
+
+    # Load config
+    base_cfg = _load_json(BASE_CONFIG_PATH)
+    llm_provider = base_cfg.get("llm", {}).get("provider", "gemini")
+    llm_config = base_cfg.get("llm", {}).get(llm_provider, {})
+
+    api_key = llm_config.get("api_key")
+    base_url = llm_config.get("base_url")
+
+    if not api_key:
+        logger.error(f"[API] API key for {llm_provider} not configured")
+        raise HTTPException(status_code=500, detail=f"API key for {llm_provider} not configured.")
+
+    # Get analysis configuration
+    analysis_cfg = get_analysis_config(analysis_type)
+    if not analysis_cfg:
+        raise HTTPException(status_code=404, detail=f"Analysis type '{analysis_type}' not found in configuration")
+
+    model = analysis_cfg.get("model", "gemini-2.5-flash")
+    prompt_template = analysis_cfg.get("prompt_template", "")
+    if not prompt_template:
+        raise HTTPException(status_code=500, detail=f"Prompt template not found for analysis type '{analysis_type}'")
+
+    # Get company name from ts_code if not provided; we don't need full financials here
+    financial_data = None
+    if not company_name:
+        try:
+            basic_data = await get_dm().get_stock_basic(stock_code=ts_code)
+            if basic_data:
+                company_name = basic_data.get("name", ts_code)
+            else:
+                company_name = ts_code
+        except Exception:
+            company_name = ts_code
+
+    # Resolve dependency context (non-streaming)
+    context = {}
+    try:
+        dependencies = analysis_cfg.get("dependencies", []) or []
+        if dependencies:
+            analysis_config_full = load_analysis_config()
+            modules_config = analysis_config_full.get("analysis_modules", {})
+
+            all_required = set()
+            def collect_all(mod_name: str):
+                for dep in modules_config.get(mod_name, {}).get("dependencies", []) or []:
+                    if dep not in all_required:
+                        all_required.add(dep)
+                        collect_all(dep)
+            for dep in dependencies:
+                all_required.add(dep)
+                collect_all(dep)
+
+            graph = {name: [d for d in (modules_config.get(name, {}).get("dependencies", []) or []) if d in all_required] for name in all_required}
+            in_degree = {u: 0 for u in graph}
+            for u, deps in graph.items():
+                for v in deps:
+                    in_degree[v] += 1
+            queue = [u for u, deg in in_degree.items() if deg == 0]
+            order = []
+            while queue:
+                u = queue.pop(0)
+                order.append(u)
+                for v in graph.get(u, []):
+                    in_degree[v] -= 1
+                    if in_degree[v] == 0:
+                        queue.append(v)
+            if len(order) != len(graph):
+                order = list(all_required)
+
+            completed = {}
+            for mod in order:
+                cfg = modules_config.get(mod, {})
+                dep_ctx = {d: completed.get(d, "") for d in (cfg.get("dependencies", []) or [])}
+                dep_client = AnalysisClient(api_key=api_key, base_url=base_url, model=cfg.get("model", model))
+                dep_result = await dep_client.generate_analysis(
+                    analysis_type=mod,
+                    company_name=company_name,
+                    ts_code=ts_code,
+                    prompt_template=cfg.get("prompt_template", ""),
+                    financial_data=financial_data,
+                    context=dep_ctx,
+                )
+                completed[mod] = dep_result.get("content", "") if dep_result.get("success") else ""
+            context = {dep: completed.get(dep, "") for dep in dependencies}
+    except Exception:
+        context = {}
+
+    client = AnalysisClient(api_key=api_key, base_url=base_url, model=model)
+
+    async def streamer():
+        # Optional header line to help client-side UI
+        header = f"# {analysis_cfg.get('name', analysis_type)}\n\n"
+        yield header
+        async for chunk in client.generate_analysis_stream(
+            analysis_type=analysis_type,
+            company_name=company_name,
+            ts_code=ts_code,
+            prompt_template=prompt_template,
+            financial_data=financial_data,
+            context=context,
+        ):
+            yield chunk
+
+    headers = {
+        # 禁止中间层缓冲，确保尽快把分块推送给客户端
+        "Cache-Control": "no-cache, no-transform",
+        "X-Accel-Buffering": "no",
+    }
+    return StreamingResponse(streamer(), media_type="text/plain; charset=utf-8", headers=headers)

backend/app/services/analysis_client.py

@@ -14,7 +14,8 @@ class AnalysisClient:
     
     def __init__(self, api_key: str, base_url: str, model: str):
         """Initialize OpenAI client with API key, base URL, and model"""
-        self.client = openai.AsyncOpenAI(api_key=api_key, base_url=base_url)
+        # Increase client timeout to allow long-running analysis (5 minutes)
+        self.client = openai.AsyncOpenAI(api_key=api_key, base_url=base_url, timeout=300.0)
         self.model_name = model
 
     async def generate_analysis(
@@ -56,6 +57,7 @@ class AnalysisClient:
             response = await self.client.chat.completions.create(
                 model=self.model_name,
                 messages=[{"role": "user", "content": prompt}],
+                timeout=300.0,
             )
             
             content = response.choices[0].message.content if response.choices else ""
@@ -130,6 +132,51 @@ class AnalysisClient:
         
         return prompt
 
+    async def generate_analysis_stream(
+        self,
+        analysis_type: str,
+        company_name: str,
+        ts_code: str,
+        prompt_template: str,
+        financial_data: Optional[Dict] = None,
+        context: Optional[Dict] = None
+    ):
+        """Yield analysis content chunks using OpenAI-compatible streaming API.
+
+        Yields plain text chunks as they arrive.
+        """
+        # Build prompt
+        prompt = self._build_prompt(
+            prompt_template,
+            company_name,
+            ts_code,
+            financial_data,
+            context,
+        )
+
+        try:
+            stream = await self.client.chat.completions.create(
+                model=self.model_name,
+                messages=[{"role": "user", "content": prompt}],
+                stream=True,
+                timeout=300.0,
+            )
+
+            # The SDK yields events with incremental deltas
+            async for event in stream:
+                try:
+                    choice = event.choices[0] if getattr(event, "choices", None) else None
+                    delta = getattr(choice, "delta", None) if choice is not None else None
+                    content = getattr(delta, "content", None) if delta is not None else None
+                    if content:
+                        yield content
+                except Exception:
+                    # Best-effort: ignore malformed chunks
+                    continue
+        except Exception as e:
+            # Emit error message to the stream so the client can surface it
+            yield f"\n\n[错误] {type(e).__name__}: {str(e)}\n"
+
 
 def load_analysis_config() -> Dict:
     """Load analysis configuration from JSON file"""

backend/app/services/tushare_client.py

@@ -1,52 +0,0 @@
-"""
-Minimal async client for Tushare Pro API
-"""
-from typing import Any, Dict, List, Optional
-import httpx
-
-TUSHARE_PRO_URL = "https://api.tushare.pro"
-
-
-class TushareClient:
-    def __init__(self, token: str):
-        self.token = token
-        self._client = httpx.AsyncClient(timeout=30)
-
-    async def query(
-        self,
-        api_name: str,
-        params: Optional[Dict[str, Any]] = None,
-        fields: Optional[str] = None,
-    ) -> List[Dict[str, Any]]:
-        payload = {
-            "api_name": api_name,
-            "token": self.token,
-            "params": params or {},
-        }
-        # default larger page size if not provided
-        if "limit" not in payload["params"]:
-            payload["params"]["limit"] = 5000
-        if fields:
-            payload["fields"] = fields
-        resp = await self._client.post(TUSHARE_PRO_URL, json=payload)
-        resp.raise_for_status()
-        data = resp.json()
-        if data.get("code") != 0:
-            err = data.get("msg") or "Tushare error"
-            raise RuntimeError(f"{api_name}: {err}")
-        fields_def = data.get("data", {}).get("fields", [])
-        items = data.get("data", {}).get("items", [])
-        rows: List[Dict[str, Any]] = []
-        for it in items:
-            row = {fields_def[i]: it[i] for i in range(len(fields_def))}
-            rows.append(row)
-        return rows
-
-    async def aclose(self):
-        await self._client.aclose()
-
-    async def __aenter__(self):
-        return self
-
-    async def __aexit__(self, exc_type, exc, tb):
-        await self.aclose()

backend/requirements.txt

@@ -7,3 +7,11 @@ aiosqlite==0.20.0
 alembic==1.13.3
 openai==1.37.0
 asyncpg
+greenlet==3.0.3
+
+# Data Providers
+tushare==1.4.1
+yfinance==0.2.37
+finnhub-python==2.4.20
+pandas==2.2.2
+PyYAML==6.0.1

config/data_sources.yaml

@@ -0,0 +1,37 @@
+# Configuration for data sources used by the DataManager
+
+# Defines the available data sources and their specific configurations.
+# 'api_key_env' specifies the environment variable that should hold the API key/token.
+data_sources:
+  tushare:
+    api_key_env: TUSHARE_TOKEN
+    description: "Primary data source for China market (A-shares)."
+  yfinance:
+    api_key_env: null # No API key required
+    description: "Good for global market data, especially US stocks."
+  finnhub:
+    api_key_env: FINNHUB_API_KEY
+    description: "Another comprehensive source for global stock data."
+
+# Defines the priority of data providers for each market.
+# The DataManager will try them in order until data is successfully fetched.
+markets:
+  CN: # China Market
+    priority:
+      - tushare
+      - yfinance # yfinance can be a fallback
+  US: # US Market
+    priority:
+      - yfinance
+      - finnhub
+  HK: # Hong Kong Market
+    priority:
+      - yfinance
+      - finnhub
+  JP: # Japan Market
+    priority:
+      - yfinance
+  DEFAULT:
+    priority:
+      - yfinance
+      - finnhub

docs/user-guide.md

@@ -265,3 +265,6 @@ A:
 **最后更新**：2025年1月
 
 
+
+
+

frontend/.gitignore

@@ -39,3 +39,5 @@ yarn-error.log*
 # typescript
 *.tsbuildinfo
 next-env.d.ts
+
+/src/generated/prisma

frontend/next.config.mjs

@@ -11,7 +11,7 @@ const nextConfig = {
   },
   // Increase server timeout for long-running AI requests
   experimental: {
-    proxyTimeout: 120000, // 120 seconds
+    proxyTimeout: 300000, // 300 seconds (5 minutes)
   },
   async rewrites() {
     return [

frontend/package-lock.json

@@ -8,6 +8,7 @@
       "name": "frontend",
       "version": "0.1.0",
       "dependencies": {
+        "@prisma/client": "^6.18.0",
         "@radix-ui/react-checkbox": "^1.3.3",
         "@radix-ui/react-navigation-menu": "^1.2.14",
         "@radix-ui/react-select": "^2.2.6",
@@ -15,6 +16,7 @@
         "@radix-ui/react-tabs": "^1.1.13",
         "class-variance-authority": "^0.7.1",
         "clsx": "^2.1.1",
+        "geist": "^1.5.1",
         "github-markdown-css": "^5.8.1",
         "lucide-react": "^0.545.0",
         "next": "15.5.5",
@@ -35,6 +37,7 @@
         "@types/react-dom": "^19",
         "eslint": "^9",
         "eslint-config-next": "15.5.5",
+        "prisma": "^6.18.0",
         "tailwindcss": "^4",
         "tw-animate-css": "^1.4.0",
         "typescript": "^5"
@@ -1016,6 +1019,91 @@
         "node": ">=12.4.0"
       }
     },
+    "node_modules/@prisma/client": {
+      "version": "6.18.0",
+      "resolved": "https://registry.npmjs.org/@prisma/client/-/client-6.18.0.tgz",
+      "integrity": "sha512-jnL2I9gDnPnw4A+4h5SuNn8Gc+1mL1Z79U/3I9eE2gbxJG1oSA+62ByPW4xkeDgwE0fqMzzpAZ7IHxYnLZ4iQA==",
+      "hasInstallScript": true,
+      "license": "Apache-2.0",
+      "engines": {
+        "node": ">=18.18"
+      },
+      "peerDependencies": {
+        "prisma": "*",
+        "typescript": ">=5.1.0"
+      },
+      "peerDependenciesMeta": {
+        "prisma": {
+          "optional": true
+        },
+        "typescript": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@prisma/config": {
+      "version": "6.18.0",
+      "resolved": "https://registry.npmjs.org/@prisma/config/-/config-6.18.0.tgz",
+      "integrity": "sha512-rgFzspCpwsE+q3OF/xkp0fI2SJ3PfNe9LLMmuSVbAZ4nN66WfBiKqJKo/hLz3ysxiPQZf8h1SMf2ilqPMeWATQ==",
+      "devOptional": true,
+      "license": "Apache-2.0",
+      "dependencies": {
+        "c12": "3.1.0",
+        "deepmerge-ts": "7.1.5",
+        "effect": "3.18.4",
+        "empathic": "2.0.0"
+      }
+    },
+    "node_modules/@prisma/debug": {
+      "version": "6.18.0",
+      "resolved": "https://registry.npmjs.org/@prisma/debug/-/debug-6.18.0.tgz",
+      "integrity": "sha512-PMVPMmxPj0ps1VY75DIrT430MoOyQx9hmm174k6cmLZpcI95rAPXOQ+pp8ANQkJtNyLVDxnxVJ0QLbrm/ViBcg==",
+      "devOptional": true,
+      "license": "Apache-2.0"
+    },
+    "node_modules/@prisma/engines": {
+      "version": "6.18.0",
+      "resolved": "https://registry.npmjs.org/@prisma/engines/-/engines-6.18.0.tgz",
+      "integrity": "sha512-i5RzjGF/ex6AFgqEe2o1IW8iIxJGYVQJVRau13kHPYEL1Ck8Zvwuzamqed/1iIljs5C7L+Opiz5TzSsUebkriA==",
+      "devOptional": true,
+      "hasInstallScript": true,
+      "license": "Apache-2.0",
+      "dependencies": {
+        "@prisma/debug": "6.18.0",
+        "@prisma/engines-version": "6.18.0-8.34b5a692b7bd79939a9a2c3ef97d816e749cda2f",
+        "@prisma/fetch-engine": "6.18.0",
+        "@prisma/get-platform": "6.18.0"
+      }
+    },
+    "node_modules/@prisma/engines-version": {
+      "version": "6.18.0-8.34b5a692b7bd79939a9a2c3ef97d816e749cda2f",
+      "resolved": "https://registry.npmjs.org/@prisma/engines-version/-/engines-version-6.18.0-8.34b5a692b7bd79939a9a2c3ef97d816e749cda2f.tgz",
+      "integrity": "sha512-T7Af4QsJQnSgWN1zBbX+Cha5t4qjHRxoeoWpK4JugJzG/ipmmDMY5S+O0N1ET6sCBNVkf6lz+Y+ZNO9+wFU8pQ==",
+      "devOptional": true,
+      "license": "Apache-2.0"
+    },
+    "node_modules/@prisma/fetch-engine": {
+      "version": "6.18.0",
+      "resolved": "https://registry.npmjs.org/@prisma/fetch-engine/-/fetch-engine-6.18.0.tgz",
+      "integrity": "sha512-TdaBvTtBwP3IoqVYoGIYpD4mWlk0pJpjTJjir/xLeNWlwog7Sl3bD2J0jJ8+5+q/6RBg+acb9drsv5W6lqae7A==",
+      "devOptional": true,
+      "license": "Apache-2.0",
+      "dependencies": {
+        "@prisma/debug": "6.18.0",
+        "@prisma/engines-version": "6.18.0-8.34b5a692b7bd79939a9a2c3ef97d816e749cda2f",
+        "@prisma/get-platform": "6.18.0"
+      }
+    },
+    "node_modules/@prisma/get-platform": {
+      "version": "6.18.0",
+      "resolved": "https://registry.npmjs.org/@prisma/get-platform/-/get-platform-6.18.0.tgz",
+      "integrity": "sha512-uXNJCJGhxTCXo2B25Ta91Rk1/Nmlqg9p7G9GKh8TPhxvAyXCvMNQoogj4JLEUy+3ku8g59cpyQIKFhqY2xO2bg==",
+      "devOptional": true,
+      "license": "Apache-2.0",
+      "dependencies": {
+        "@prisma/debug": "6.18.0"
+      }
+    },
     "node_modules/@radix-ui/number": {
       "version": "1.1.1",
       "resolved": "https://registry.npmjs.org/@radix-ui/number/-/number-1.1.1.tgz",
@@ -3079,6 +3167,35 @@
         "node": ">=8"
       }
     },
+    "node_modules/c12": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/c12/-/c12-3.1.0.tgz",
+      "integrity": "sha512-uWoS8OU1MEIsOv8p/5a82c3H31LsWVR5qiyXVfBNOzfffjUWtPnhAb4BYI2uG2HfGmZmFjCtui5XNWaps+iFuw==",
+      "devOptional": true,
+      "license": "MIT",
+      "dependencies": {
+        "chokidar": "^4.0.3",
+        "confbox": "^0.2.2",
+        "defu": "^6.1.4",
+        "dotenv": "^16.6.1",
+        "exsolve": "^1.0.7",
+        "giget": "^2.0.0",
+        "jiti": "^2.4.2",
+        "ohash": "^2.0.11",
+        "pathe": "^2.0.3",
+        "perfect-debounce": "^1.0.0",
+        "pkg-types": "^2.2.0",
+        "rc9": "^2.1.2"
+      },
+      "peerDependencies": {
+        "magicast": "^0.3.5"
+      },
+      "peerDependenciesMeta": {
+        "magicast": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/call-bind": {
       "version": "1.0.8",
       "resolved": "https://registry.npmjs.org/call-bind/-/call-bind-1.0.8.tgz",
@@ -3226,6 +3343,22 @@
         "url": "https://github.com/sponsors/wooorm"
       }
     },
+    "node_modules/chokidar": {
+      "version": "4.0.3",
+      "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-4.0.3.tgz",
+      "integrity": "sha512-Qgzu8kfBvo+cA4962jnP1KkS6Dop5NS6g7R5LFYJr4b8Ub94PPQXUksCw9PvXoeXPRRddRNC5C1JQUR2SMGtnA==",
+      "devOptional": true,
+      "license": "MIT",
+      "dependencies": {
+        "readdirp": "^4.0.1"
+      },
+      "engines": {
+        "node": ">= 14.16.0"
+      },
+      "funding": {
+        "url": "https://paulmillr.com/funding/"
+      }
+    },
     "node_modules/chownr": {
       "version": "3.0.0",
       "resolved": "https://registry.npmjs.org/chownr/-/chownr-3.0.0.tgz",
@@ -3236,6 +3369,16 @@
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@@ -3300,6 +3443,23 @@
       "dev": true,
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+      "resolved": "https://registry.npmjs.org/consola/-/consola-3.4.2.tgz",
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@@ -3546,6 +3706,16 @@
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@@ -3582,6 +3752,13 @@
         "url": "https://github.com/sponsors/ljharb"
       }
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+      "resolved": "https://registry.npmjs.org/defu/-/defu-6.1.4.tgz",
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@@ -3591,6 +3768,13 @@
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+    "node_modules/destr": {
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+      "resolved": "https://registry.npmjs.org/destr/-/destr-2.0.5.tgz",
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+      "license": "MIT"
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@@ -3633,6 +3817,19 @@
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+    "node_modules/dotenv": {
+      "version": "16.6.1",
+      "resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.6.1.tgz",
+      "integrity": "sha512-uBq4egWHTcTt33a72vpSG0z3HnPuIl6NqYcTrKEg2azoEyl2hpW0zqlxysq2pK9HlDIHyHyakeYaYnSAwd8bow==",
+      "devOptional": true,
+      "license": "BSD-2-Clause",
+      "engines": {
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+      },
+      "funding": {
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@@ -3648,6 +3845,17 @@
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+    "node_modules/effect": {
+      "version": "3.18.4",
+      "resolved": "https://registry.npmjs.org/effect/-/effect-3.18.4.tgz",
+      "integrity": "sha512-b1LXQJLe9D11wfnOKAk3PKxuqYshQ0Heez+y5pnkd3jLj1yx9QhM72zZ9uUrOQyNvrs2GZZd/3maL0ZV18YuDA==",
+      "devOptional": true,
+      "license": "MIT",
+      "dependencies": {
+        "@standard-schema/spec": "^1.0.0",
+        "fast-check": "^3.23.1"
+      }
+    },
     "node_modules/emoji-regex": {
       "version": "9.2.2",
       "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-9.2.2.tgz",
@@ -3655,6 +3863,16 @@
       "dev": true,
       "license": "MIT"
     },
+    "node_modules/empathic": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/empathic/-/empathic-2.0.0.tgz",
+      "integrity": "sha512-i6UzDscO/XfAcNYD75CfICkmfLedpyPDdozrLMmQc5ORaQcdMoc21OnlEylMIqI7U8eniKrPMxxtj8k0vhmJhA==",
+      "devOptional": true,
+      "license": "MIT",
+      "engines": {
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+      }
+    },
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@@ -4311,12 +4529,42 @@
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     },
+    "node_modules/exsolve": {
+      "version": "1.0.7",
+      "resolved": "https://registry.npmjs.org/exsolve/-/exsolve-1.0.7.tgz",
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     },
+    "node_modules/fast-check": {
+      "version": "3.23.2",
+      "resolved": "https://registry.npmjs.org/fast-check/-/fast-check-3.23.2.tgz",
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+      "devOptional": true,
+      "funding": [
+        {
+          "type": "individual",
+          "url": "https://github.com/sponsors/dubzzz"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/fast-check"
+        }
+      ],
+      "license": "MIT",
+      "dependencies": {
+        "pure-rand": "^6.1.0"
+      },
+      "engines": {
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       "version": "3.1.3",
       "resolved": "https://registry.npmjs.org/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz",
@@ -4499,6 +4747,15 @@
         "url": "https://github.com/sponsors/ljharb"
       }
     },
+    "node_modules/geist": {
+      "version": "1.5.1",
+      "resolved": "https://registry.npmjs.org/geist/-/geist-1.5.1.tgz",
+      "integrity": "sha512-mAHZxIsL2o3ZITFaBVFBnwyDOw+zNLYum6A6nIjpzCGIO8QtC3V76XF2RnZTyLx1wlDTmMDy8jg3Ib52MIjGvQ==",
+      "license": "SIL OPEN FONT LICENSE",
+      "peerDependencies": {
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+      }
+    },
     "node_modules/generator-function": {
       "version": "2.0.1",
       "resolved": "https://registry.npmjs.org/generator-function/-/generator-function-2.0.1.tgz",
@@ -4588,6 +4845,24 @@
         "url": "https://github.com/privatenumber/get-tsconfig?sponsor=1"
       }
     },
+    "node_modules/giget": {
+      "version": "2.0.0",
+      "resolved": "https://registry.npmjs.org/giget/-/giget-2.0.0.tgz",
+      "integrity": "sha512-L5bGsVkxJbJgdnwyuheIunkGatUF/zssUoxxjACCseZYAVbaqdh9Tsmmlkl8vYan09H7sbvKt4pS8GqKLBrEzA==",
+      "devOptional": true,
+      "license": "MIT",
+      "dependencies": {
+        "citty": "^0.1.6",
+        "consola": "^3.4.0",
+        "defu": "^6.1.4",
+        "node-fetch-native": "^1.6.6",
+        "nypm": "^0.6.0",
+        "pathe": "^2.0.3"
+      },
+      "bin": {
+        "giget": "dist/cli.mjs"
+      }
+    },
     "node_modules/github-markdown-css": {
       "version": "5.8.1",
       "resolved": "https://registry.npmjs.org/github-markdown-css/-/github-markdown-css-5.8.1.tgz",
@@ -5385,7 +5660,7 @@
       "version": "2.6.1",
       "resolved": "https://registry.npmjs.org/jiti/-/jiti-2.6.1.tgz",
       "integrity": "sha512-ekilCSN1jwRvIbgeg/57YFh8qQDNbwDb9xT/qu2DAHbFFZUicIl4ygVaAvzveMhMVr3LnpSKTNnwt8PoOfmKhQ==",
-      "dev": true,
+      "devOptional": true,
       "license": "MIT",
       "bin": {
         "jiti": "lib/jiti-cli.mjs"
@@ -6871,6 +7146,33 @@
         "node": "^10 || ^12 || >=14"
       }
     },
+    "node_modules/node-fetch-native": {
+      "version": "1.6.7",
+      "resolved": "https://registry.npmjs.org/node-fetch-native/-/node-fetch-native-1.6.7.tgz",
+      "integrity": "sha512-g9yhqoedzIUm0nTnTqAQvueMPVOuIY16bqgAJJC8XOOubYFNwz6IER9qs0Gq2Xd0+CecCKFjtdDTMA4u4xG06Q==",
+      "devOptional": true,
+      "license": "MIT"
+    },
+    "node_modules/nypm": {
+      "version": "0.6.2",
+      "resolved": "https://registry.npmjs.org/nypm/-/nypm-0.6.2.tgz",
+      "integrity": "sha512-7eM+hpOtrKrBDCh7Ypu2lJ9Z7PNZBdi/8AT3AX8xoCj43BBVHD0hPSTEvMtkMpfs8FCqBGhxB+uToIQimA111g==",
+      "devOptional": true,
+      "license": "MIT",
+      "dependencies": {
+        "citty": "^0.1.6",
+        "consola": "^3.4.2",
+        "pathe": "^2.0.3",
+        "pkg-types": "^2.3.0",
+        "tinyexec": "^1.0.1"
+      },
+      "bin": {
+        "nypm": "dist/cli.mjs"
+      },
+      "engines": {
+        "node": "^14.16.0 || >=16.10.0"
+      }
+    },
     "node_modules/object-assign": {
       "version": "4.1.1",
       "resolved": "https://registry.npmjs.org/object-assign/-/object-assign-4.1.1.tgz",
@@ -6994,6 +7296,13 @@
         "url": "https://github.com/sponsors/ljharb"
       }
     },
+    "node_modules/ohash": {
+      "version": "2.0.11",
+      "resolved": "https://registry.npmjs.org/ohash/-/ohash-2.0.11.tgz",
+      "integrity": "sha512-RdR9FQrFwNBNXAr4GixM8YaRZRJ5PUWbKYbE5eOsrwAjJW0q2REGcf79oYPsLyskQCZG1PLN+S/K1V00joZAoQ==",
+      "devOptional": true,
+      "license": "MIT"
+    },
     "node_modules/optionator": {
       "version": "0.9.4",
       "resolved": "https://registry.npmjs.org/optionator/-/optionator-0.9.4.tgz",
@@ -7127,6 +7436,20 @@
       "dev": true,
       "license": "MIT"
     },
+    "node_modules/pathe": {
+      "version": "2.0.3",
+      "resolved": "https://registry.npmjs.org/pathe/-/pathe-2.0.3.tgz",
+      "integrity": "sha512-WUjGcAqP1gQacoQe+OBJsFA7Ld4DyXuUIjZ5cc75cLHvJ7dtNsTugphxIADwspS+AraAUePCKrSVtPLFj/F88w==",
+      "devOptional": true,
+      "license": "MIT"
+    },
+    "node_modules/perfect-debounce": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/perfect-debounce/-/perfect-debounce-1.0.0.tgz",
+      "integrity": "sha512-xCy9V055GLEqoFaHoC1SoLIaLmWctgCUaBaWxDZ7/Zx4CTyX7cJQLJOok/orfjZAh9kEYpjJa4d0KcJmCbctZA==",
+      "devOptional": true,
+      "license": "MIT"
+    },
     "node_modules/picocolors": {
       "version": "1.1.1",
       "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.1.1.tgz",
@@ -7146,6 +7469,18 @@
         "url": "https://github.com/sponsors/jonschlinkert"
       }
     },
+    "node_modules/pkg-types": {
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/pkg-types/-/pkg-types-2.3.0.tgz",
+      "integrity": "sha512-SIqCzDRg0s9npO5XQ3tNZioRY1uK06lA41ynBC1YmFTmnY6FjUjVt6s4LoADmwoig1qqD0oK8h1p/8mlMx8Oig==",
+      "devOptional": true,
+      "license": "MIT",
+      "dependencies": {
+        "confbox": "^0.2.2",
+        "exsolve": "^1.0.7",
+        "pathe": "^2.0.3"
+      }
+    },
     "node_modules/possible-typed-array-names": {
       "version": "1.1.0",
       "resolved": "https://registry.npmjs.org/possible-typed-array-names/-/possible-typed-array-names-1.1.0.tgz",
@@ -7195,6 +7530,32 @@
         "node": ">= 0.8.0"
       }
     },
+    "node_modules/prisma": {
+      "version": "6.18.0",
+      "resolved": "https://registry.npmjs.org/prisma/-/prisma-6.18.0.tgz",
+      "integrity": "sha512-bXWy3vTk8mnRmT+SLyZBQoC2vtV9Z8u7OHvEu+aULYxwiop/CPiFZ+F56KsNRNf35jw+8wcu8pmLsjxpBxAO9g==",
+      "devOptional": true,
+      "hasInstallScript": true,
+      "license": "Apache-2.0",
+      "dependencies": {
+        "@prisma/config": "6.18.0",
+        "@prisma/engines": "6.18.0"
+      },
+      "bin": {
+        "prisma": "build/index.js"
+      },
+      "engines": {
+        "node": ">=18.18"
+      },
+      "peerDependencies": {
+        "typescript": ">=5.1.0"
+      },
+      "peerDependenciesMeta": {
+        "typescript": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/prop-types": {
       "version": "15.8.1",
       "resolved": "https://registry.npmjs.org/prop-types/-/prop-types-15.8.1.tgz",
@@ -7227,6 +7588,23 @@
         "node": ">=6"
       }
     },
+    "node_modules/pure-rand": {
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/pure-rand/-/pure-rand-6.1.0.tgz",
+      "integrity": "sha512-bVWawvoZoBYpp6yIoQtQXHZjmz35RSVHnUOTefl8Vcjr8snTPY1wnpSPMWekcFwbxI6gtmT7rSYPFvz71ldiOA==",
+      "devOptional": true,
+      "funding": [
+        {
+          "type": "individual",
+          "url": "https://github.com/sponsors/dubzzz"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/fast-check"
+        }
+      ],
+      "license": "MIT"
+    },
     "node_modules/queue-microtask": {
       "version": "1.2.3",
       "resolved": "https://registry.npmjs.org/queue-microtask/-/queue-microtask-1.2.3.tgz",
@@ -7248,6 +7626,17 @@
       ],
       "license": "MIT"
     },
+    "node_modules/rc9": {
+      "version": "2.1.2",
+      "resolved": "https://registry.npmjs.org/rc9/-/rc9-2.1.2.tgz",
+      "integrity": "sha512-btXCnMmRIBINM2LDZoEmOogIZU7Qe7zn4BpomSKZ/ykbLObuBdvG+mFq11DL6fjH1DRwHhrlgtYWG96bJiC7Cg==",
+      "devOptional": true,
+      "license": "MIT",
+      "dependencies": {
+        "defu": "^6.1.4",
+        "destr": "^2.0.3"
+      }
+    },
     "node_modules/react": {
       "version": "19.1.0",
       "resolved": "https://registry.npmjs.org/react/-/react-19.1.0.tgz",
@@ -7394,6 +7783,20 @@
         }
       }
     },
+    "node_modules/readdirp": {
+      "version": "4.1.2",
+      "resolved": "https://registry.npmjs.org/readdirp/-/readdirp-4.1.2.tgz",
+      "integrity": "sha512-GDhwkLfywWL2s6vEjyhri+eXmfH6j1L7JE27WhqLeYzoh/A3DBaYGEj2H/HFZCn/kMfim73FXxEJTw06WtxQwg==",
+      "devOptional": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">= 14.18.0"
+      },
+      "funding": {
+        "type": "individual",
+        "url": "https://paulmillr.com/funding/"
+      }
+    },
     "node_modules/recharts": {
       "version": "3.3.0",
       "resolved": "https://registry.npmjs.org/recharts/-/recharts-3.3.0.tgz",
@@ -8217,6 +8620,13 @@
       "integrity": "sha512-+FbBPE1o9QAYvviau/qC5SE3caw21q3xkvWKBtja5vgqOWIHHJ3ioaq1VPfn/Szqctz2bU/oYeKd9/z5BL+PVg==",
       "license": "MIT"
     },
+    "node_modules/tinyexec": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/tinyexec/-/tinyexec-1.0.1.tgz",
+      "integrity": "sha512-5uC6DDlmeqiOwCPmK9jMSdOuZTh8bU39Ys6yidB+UTt5hfZUPGAypSgFRiEp+jbi9qH40BLDvy85jIU88wKSqw==",
+      "devOptional": true,
+      "license": "MIT"
+    },
     "node_modules/tinyglobby": {
       "version": "0.2.15",
       "resolved": "https://registry.npmjs.org/tinyglobby/-/tinyglobby-0.2.15.tgz",
@@ -8435,7 +8845,7 @@
       "version": "5.9.3",
       "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.9.3.tgz",
       "integrity": "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw==",
-      "dev": true,
+      "devOptional": true,
       "license": "Apache-2.0",
       "bin": {
         "tsc": "bin/tsc",

frontend/package.json

@@ -3,12 +3,13 @@
   "version": "0.1.0",
   "private": true,
   "scripts": {
-    "dev": "next dev --turbopack",
+    "dev": "next dev -p 3001",
     "build": "next build",
     "start": "next start",
     "lint": "eslint"
   },
   "dependencies": {
+    "@prisma/client": "^6.18.0",
     "@radix-ui/react-checkbox": "^1.3.3",
     "@radix-ui/react-navigation-menu": "^1.2.14",
     "@radix-ui/react-select": "^2.2.6",
@@ -16,6 +17,7 @@
     "@radix-ui/react-tabs": "^1.1.13",
     "class-variance-authority": "^0.7.1",
     "clsx": "^2.1.1",
+    "geist": "^1.5.1",
     "github-markdown-css": "^5.8.1",
     "lucide-react": "^0.545.0",
     "next": "15.5.5",
@@ -36,6 +38,7 @@
     "@types/react-dom": "^19",
     "eslint": "^9",
     "eslint-config-next": "15.5.5",
+    "prisma": "^6.18.0",
     "tailwindcss": "^4",
     "tw-animate-css": "^1.4.0",
     "typescript": "^5"

frontend/prisma/migrations/migration_lock.toml

@@ -0,0 +1,3 @@
+# Please do not edit this file manually
+# It should be added in your version-control system (e.g., Git)
+provider = "postgresql"

frontend/prisma/schema.prisma

@@ -0,0 +1,19 @@
+// This is your Prisma schema file,
+// learn more about it in the docs: https://pris.ly/d/prisma-schema
+
+generator client {
+  provider = "prisma-client-js"
+}
+
+datasource db {
+  provider = "postgresql"
+  url               = env("DATABASE_URL")
+  shadowDatabaseUrl = env("PRISMA_MIGRATE_SHADOW_DATABASE_URL")
+}
+
+model Report {
+  id        String   @id @default(uuid())
+  symbol    String
+  content   Json
+  createdAt DateTime @default(now())
+}

frontend/src/app/api/financials/[...slug]/route.ts

@@ -11,6 +11,14 @@ export async function GET(
   const path = slug.join('/');
   const target = `${BACKEND_BASE}/financials/${path}${url.search}`;
   const resp = await fetch(target, { headers: { 'Content-Type': 'application/json' } });
-  const text = await resp.text();
+  // 透传后端响应（支持流式 body）
-  return new Response(text, { status: resp.status, headers: { 'Content-Type': resp.headers.get('Content-Type') || 'application/json' } });
+  const headers = new Headers();
+  // 复制关键头，减少代理层缓冲
+  const contentType = resp.headers.get('content-type') || 'application/json; charset=utf-8';
+  headers.set('content-type', contentType);
+  const cacheControl = resp.headers.get('cache-control');
+  if (cacheControl) headers.set('cache-control', cacheControl);
+  const xAccelBuffering = resp.headers.get('x-accel-buffering');
+  if (xAccelBuffering) headers.set('x-accel-buffering', xAccelBuffering);
+  return new Response(resp.body, { status: resp.status, headers });
 }

frontend/src/app/api/reports/[id]/route.ts

@@ -0,0 +1,29 @@
+import { NextRequest } from 'next/server'
+import { prisma } from '../../../../lib/prisma'
+
+export async function GET(
+  req: NextRequest,
+  context: { params: Promise<{ id: string }> }
+) {
+  // 优先从动态路由 params（Promise）获取，其次从 URL 最后一段兜底
+  let id: string | undefined
+  try {
+    const { id: idFromParams } = await context.params
+    id = idFromParams
+  } catch {
+    // ignore
+  }
+  if (!id) {
+    id = new URL(req.url).pathname.split('/').pop() || undefined
+  }
+
+  if (!id) {
+    return Response.json({ error: 'missing id' }, { status: 400 })
+  }
+
+  const report = await prisma.report.findUnique({ where: { id } })
+  if (!report) {
+    return Response.json({ error: 'not found' }, { status: 404 })
+  }
+  return Response.json(report)
+}

frontend/src/app/api/reports/route.ts

@@ -0,0 +1,42 @@
+import { NextRequest } from 'next/server'
+import { prisma } from '../../../lib/prisma'
+
+export async function GET(req: NextRequest) {
+  const url = new URL(req.url)
+  const limit = Number(url.searchParams.get('limit') || 50)
+  const offset = Number(url.searchParams.get('offset') || 0)
+
+  const [items, total] = await Promise.all([
+    prisma.report.findMany({
+      orderBy: { createdAt: 'desc' },
+      skip: offset,
+      take: Math.min(Math.max(limit, 1), 200)
+    }),
+    prisma.report.count()
+  ])
+
+  return Response.json({ items, total })
+}
+
+export async function POST(req: NextRequest) {
+  try {
+    const body = await req.json()
+    const symbol = String(body.symbol || '').trim()
+    const content = body.content
+
+    if (!symbol) {
+      return Response.json({ error: 'symbol is required' }, { status: 400 })
+    }
+    if (typeof content === 'undefined') {
+      return Response.json({ error: 'content is required' }, { status: 400 })
+    }
+
+    const created = await prisma.report.create({
+      data: { symbol, content }
+    })
+
+    return Response.json(created, { status: 201 })
+  } catch (e) {
+    return Response.json({ error: 'invalid json body' }, { status: 400 })
+  }
+}

frontend/src/app/fonts/README.md

@@ -0,0 +1,16 @@
+将本地自托管字体放在此目录。
+
+需要文件（建议）：
+- GeistVF.woff2
+- GeistMonoVF.woff2
+
+来源建议：
+- 若你已有字体授权，可从官方来源或内部制品库获取 WOFF2 变体文件。
+
+放置后无需额外配置，`src/app/layout.tsx` 已使用 next/font/local 引用：
+- ./fonts/GeistVF.woff2 -> --font-geist-sans
+- ./fonts/GeistMonoVF.woff2 -> --font-geist-mono
+
+若暂时没有字体文件，页面会退回系统默认字体，不影响功能。
+
+

frontend/src/app/layout.tsx

@@ -1,5 +1,6 @@
 import type { Metadata } from "next";
-import { Geist, Geist_Mono } from "next/font/google";
+import { GeistSans } from 'geist/font/sans'
+import { GeistMono } from 'geist/font/mono'
 import "./globals.css";
 import {
   NavigationMenu,
@@ -8,15 +9,9 @@ import {
   NavigationMenuList,
 } from "@/components/ui/navigation-menu";
 
-const geistSans = Geist({
+// 官方 Geist 字体（npm 包）
-  variable: "--font-geist-sans",
+const geistSans = GeistSans;
-  subsets: ["latin"],
+const geistMono = GeistMono;
-});
-
-const geistMono = Geist_Mono({
-  variable: "--font-geist-mono",
-  subsets: ["latin"],
-});
 
 export const metadata: Metadata = {
   title: "Fundamental Analysis",
@@ -40,7 +35,7 @@ export default function RootLayout({
                   <NavigationMenuLink href="/" className="px-3 py-2">首页</NavigationMenuLink>
                 </NavigationMenuItem>
                 <NavigationMenuItem>
-                  <NavigationMenuLink href="/reports" className="px-3 py-2">报表</NavigationMenuLink>
+                  <NavigationMenuLink href="/reports" className="px-3 py-2">历史报告</NavigationMenuLink>
                 </NavigationMenuItem>
                 <NavigationMenuItem>
                   <NavigationMenuLink href="/docs" className="px-3 py-2">文档</NavigationMenuLink>

frontend/src/app/report/[symbol]/page.tsx

@@ -44,9 +44,6 @@ export default function ReportPage() {
   // 分析类型列表（按顺序）
   const analysisTypes = useMemo(() => {
     if (!analysisConfig?.analysis_modules) return [];
-    // The order now comes from the backend's topological sort,
-    // but we can define a preferred order for display if needed.
-    // For now, let's just get the keys.
     return Object.keys(analysisConfig.analysis_modules);
   }, [analysisConfig]);
   
@@ -94,6 +91,49 @@ export default function ReportPage() {
     error?: string;
   }>>([]);
 
+  const [saving, setSaving] = useState(false)
+  const [saveMsg, setSaveMsg] = useState<string | null>(null)
+
+  const saveReport = async () => {
+    try {
+      setSaving(true)
+      setSaveMsg(null)
+      const content = {
+        market,
+        normalizedSymbol: normalizedTsCode,
+        financialsMeta: financials?.meta || null,
+        // 同步保存财务数据（用于报告详情页展示）
+        financials: financials
+          ? {
+              ts_code: financials.ts_code,
+              name: (financials as any).name,
+              series: financials.series,
+              meta: financials.meta,
+            }
+          : null,
+        analyses: Object.fromEntries(
+          Object.entries(analysisStates).map(([k, v]) => [k, { content: v.content, error: v.error, elapsed_ms: v.elapsed_ms, tokens: v.tokens }])
+        )
+      }
+      const resp = await fetch('/api/reports', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({ symbol: normalizedTsCode, content })
+      })
+      if (!resp.ok) {
+        const t = await resp.json().catch(() => ({}))
+        throw new Error(t?.error || `HTTP ${resp.status}`)
+      }
+      const data = await resp.json()
+      setSaveMsg('保存成功')
+      return data
+    } catch (e) {
+      setSaveMsg(e instanceof Error ? e.message : '保存失败')
+    } finally {
+      setSaving(false)
+    }
+  }
+  
   const runFullAnalysis = async () => {
     if (!isChina || !financials || !analysisConfig?.analysis_modules || isAnalysisRunningRef.current) {
       return;
@@ -131,7 +171,6 @@ export default function ReportPage() {
       fullAnalysisTriggeredRef.current = true;
       runFullAnalysis();
     }
-    // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [financials]);
 
   // 计算完成比例
@@ -157,7 +196,6 @@ export default function ReportPage() {
     const v = typeof ms === 'number' ? ms : 0;
     if (v >= 1000) {
       const s = v / 1000;
-      // 保留两位小数
       return `${s.toFixed(2)} s`;
     }
     return `${v} ms`;
@@ -185,7 +223,6 @@ export default function ReportPage() {
     return map;
   }, [financialConfig]);
 
-  // 创建 tushareParam 到 分组 名称的映射（用于数值缩放判断）
   const metricGroupMap = useMemo(() => {
     if (!financialConfig?.api_groups) return {} as Record<string, string>;
     const map: Record<string, string> = {};
@@ -199,19 +236,16 @@ export default function ReportPage() {
     return map;
   }, [financialConfig]);
 
-  // 数字格式化（千分位，保留两位小数）
   const numberFormatter = useMemo(() => new Intl.NumberFormat('zh-CN', {
     minimumFractionDigits: 2,
     maximumFractionDigits: 2,
   }), []);
 
-  // 数字格式化（千分位，不带小数）- 用于市值
   const integerFormatter = useMemo(() => new Intl.NumberFormat('zh-CN', {
     minimumFractionDigits: 0,
     maximumFractionDigits: 0,
   }), []);
   
-  // 规范化 Markdown（修复 AI 输出导致的有序列表解析问题）
   const normalizeMarkdown = useMemo(() => {
     return (content: string): string => {
       if (!content) return content;
@@ -220,10 +254,7 @@ export default function ReportPage() {
 
       for (let i = 0; i < lines.length; i += 1) {
         let line = lines[i];
-        // 将"1、"/"1 、"等替换为"1. "
         line = line.replace(/^(\s*)(\d+)[、，]\s*/u, '$1$2. ');
-
-        // 如果是独立一行仅有 "1." 之类的编号，则与下一行合并
         const onlyIndexMatch = line.match(/^\s*(\d+)\.[\s\u3000]*$/u);
         if (onlyIndexMatch) {
           const next = lines[i + 1] ?? '';
@@ -231,68 +262,59 @@ export default function ReportPage() {
           i += 1;
           continue;
         }
-
         out.push(line);
       }
 
       let text = out.join('\n');
-      // 在以"1."开头的列表前补一个空行，防止被前段落粘连
       text = text.replace(/([^\n])\n(\s*\d+\.\s)/g, (_m, a, b) => `${a}\n\n${b}`);
       return text;
     };
   }, []);
   
-  // 取消独立公司简介加载；统一纳入顺序分析
-  
-  // 检查是否有正在进行的任务
   const hasRunningTask = useMemo(() => {
     if (currentAnalysisTask !== null) return true;
     if (analysisRecords.some(r => r.status === 'running')) return true;
     return false;
   }, [currentAnalysisTask, analysisRecords]);
+  
+  // 全部任务是否完成（无运行中任务，且所有分析记录为 done 或 error）
+  const allTasksCompleted = useMemo(() => {
+    if (analysisRecords.length === 0) return false;
+    const allDoneOrErrored = analysisRecords.every(r => r.status === 'done' || r.status === 'error');
+    return allDoneOrErrored && !hasRunningTask && currentAnalysisTask === null;
+  }, [analysisRecords, hasRunningTask, currentAnalysisTask]);
+
+  // 所有任务完成时，停止计时器
+  useEffect(() => {
+    if (allTasksCompleted) {
+      setStartTime(null);
+    }
+  }, [allTasksCompleted]);
 
-  // 计时器效果
   useEffect(() => {
     if (!startTime) return;
-    
     const interval = setInterval(() => {
       const now = Date.now();
       const elapsed = Math.floor((now - startTime) / 1000);
       setElapsedSeconds(elapsed);
     }, 1000);
-    
     return () => clearInterval(interval);
   }, [startTime]);
   
-  
-
-  // 重试单个分析任务
   const retryAnalysis = async (analysisType: string) => {
     if (!isChina || !financials || !analysisConfig?.analysis_modules) {
       return;
     }
-    // 允许 company_profile 通过通用通道重试
-
-    // 清除该任务的已完成标记，允许重新执行
     analysisFetchedRefs.current[analysisType] = false;
-    
-    // 清除错误状态
     setAnalysisStates(prev => ({
       ...prev,
       [analysisType]: { content: '', loading: true, error: null }
     }));
-
-    // 移除旧的错误记录
     setAnalysisRecords(prev => prev.filter(record => record.type !== analysisType));
-
     const analysisName =
       analysisConfig.analysis_modules[analysisType]?.name || analysisType;
     const startTime = new Date().toISOString();
-
-    // 设置当前任务
     setCurrentAnalysisTask(analysisType);
-
-    // 添加执行记录
     setAnalysisRecords(prev => [...prev, {
       type: analysisType,
       name: analysisName,
@@ -301,74 +323,59 @@ export default function ReportPage() {
     }]);
 
     try {
+      const startedMsLocal = Date.now();
       const response = await fetch(
-        `/api/financials/china/${normalizedTsCode}/analysis/${analysisType}?company_name=${encodeURIComponent(financials?.name || normalizedTsCode)}`
+        `/api/financials/china/${normalizedTsCode}/analysis/${analysisType}/stream?company_name=${encodeURIComponent(financials?.name || normalizedTsCode)}`
       );
-
       if (!response.ok) {
         throw new Error(`HTTP error! status: ${response.status}`);
       }
-
+      const reader = response.body?.getReader();
-      const data: AnalysisResponse = await response.json();
+      const decoder = new TextDecoder();
-      const endTime = new Date().toISOString();
+      let aggregate = '';
-
+      if (reader) {
-      if (data.success) {
+        while (true) {
-        // 更新状态
+          const { value, done } = await reader.read();
-        setAnalysisStates(prev => ({
+          if (done) break;
-          ...prev,
+          const chunk = decoder.decode(value, { stream: true });
-          [analysisType]: {
+          aggregate += chunk;
-            content: data.content,
+          const snapshot = aggregate;
-            loading: false,
+          setAnalysisStates(prev => ({
-            error: null,
+            ...prev,
-            elapsed_ms: data.elapsed_ms,
+            [analysisType]: {
-            tokens: data.tokens
+              ...prev[analysisType],
-          }
+              content: snapshot,
-        }));
+              loading: true,
-
+              error: null,
-        // 更新执行记录
+            }
-        setAnalysisRecords(prev => prev.map(record =>
+          }));
-          record.type === analysisType
+        }
-            ? {
-                ...record,
-                status: 'done',
-                end_ts: endTime,
-                duration_ms: data.elapsed_ms,
-                tokens: data.tokens
-              }
-            : record
-        ));
-      } else {
-        // 更新状态
-        setAnalysisStates(prev => ({
-          ...prev,
-          [analysisType]: {
-            content: '',
-            loading: false,
-            error: data.error || '生成失败',
-            elapsed_ms: data.elapsed_ms,
-            tokens: data.tokens
-          }
-        }));
-
-        // 更新执行记录
-        setAnalysisRecords(prev => prev.map(record =>
-          record.type === analysisType
-            ? {
-                ...record,
-                status: 'error',
-                end_ts: endTime,
-                duration_ms: data.elapsed_ms,
-                tokens: data.tokens,
-                error: data.error || '生成失败'
-              }
-            : record
-        ));
       }
+      const endTime = new Date().toISOString();
+      const elapsedMs = Date.now() - startedMsLocal;
+      setAnalysisStates(prev => ({
+        ...prev,
+        [analysisType]: {
+          ...prev[analysisType],
+          content: aggregate,
+          loading: false,
+          error: null,
+          elapsed_ms: elapsedMs,
+        }
+      }));
+      setAnalysisRecords(prev => prev.map(record =>
+        record.type === analysisType
+          ? {
+              ...record,
+              status: 'done',
+              end_ts: endTime,
+              duration_ms: elapsedMs,
+            }
+          : record
+      ));
     } catch (err) {
       const errorMessage = err instanceof Error ? err.message : '加载失败';
       const endTime = new Date().toISOString();
-
-      // 更新状态
       setAnalysisStates(prev => ({
         ...prev,
         [analysisType]: {
@@ -377,8 +384,6 @@ export default function ReportPage() {
           error: errorMessage
         }
       }));
-
-      // 更新执行记录
       setAnalysisRecords(prev => prev.map(record =>
         record.type === analysisType
           ? {
@@ -390,64 +395,44 @@ export default function ReportPage() {
           : record
       ));
     } finally {
-      // 清除当前任务
       setCurrentAnalysisTask(null);
-      // 标记为已完成（无论成功还是失败）
       analysisFetchedRefs.current[analysisType] = true;
     }
   };
 
-  // 顺序执行各个分析
   useEffect(() => {
-    // 确保所有必需的数据都已加载
     if (!isChina || isLoading || error || !financials || !analysisConfig?.analysis_modules || analysisTypes.length === 0) {
       return;
     }
-
-    // 如果已经有分析任务正在运行，则跳过
     if (isAnalysisRunningRef.current) {
       return;
     }
-
     const runAnalysesSequentially = async () => {
-      // 设置运行标志，防止并发执行
       if (isAnalysisRunningRef.current) {
         return;
       }
       isAnalysisRunningRef.current = true;
-
       try {
-        if (!startTime) {
+        if (!stopRequestedRef.current && !startTime) {
           setStartTime(Date.now());
         }
         for (let i = 0; i < analysisTypes.length; i++) {
           const analysisType = analysisTypes[i];
-          
           if (stopRequestedRef.current) {
             break;
           }
-
           if (analysisFetchedRefs.current[analysisType]) {
-            continue; // 已加载过，跳过
+            continue;
           }
-
-          // Ensure refs and config are defined before proceeding
           if (!analysisFetchedRefs.current || !analysisConfig?.analysis_modules) {
             console.error("分析配置或refs未初始化，无法进行分析。");
             continue;
           }
-
-          // 记录当前类型
           currentAnalysisTypeRef.current = analysisType;
           const analysisName =
             analysisConfig.analysis_modules[analysisType]?.name || analysisType;
           const startTime = new Date().toISOString();
-
-          // 设置当前任务
           setCurrentAnalysisTask(analysisType);
-
-          
-          // 设置/更新执行记录为 running（避免重复项）
           setAnalysisRecords(prev => {
             const next = [...prev];
             const idx = next.findIndex(r => r.type === analysisType);
@@ -464,82 +449,66 @@ export default function ReportPage() {
             }
             return next;
           });
-          
-          // 设置加载状态
           setAnalysisStates(prev => ({
             ...prev,
             [analysisType]: { content: '', loading: true, error: null }
           }));
-          
           try {
             abortControllerRef.current?.abort();
             abortControllerRef.current = new AbortController();
+            const startedMsLocal = Date.now();
             const response = await fetch(
-              `/api/financials/china/${normalizedTsCode}/analysis/${analysisType}?company_name=${encodeURIComponent(financials?.name || normalizedTsCode)}`,
+              `/api/financials/china/${normalizedTsCode}/analysis/${analysisType}/stream?company_name=${encodeURIComponent(financials?.name || normalizedTsCode)}`,
               { signal: abortControllerRef.current.signal }
             );
-            
             if (!response.ok) {
               throw new Error(`HTTP error! status: ${response.status}`);
             }
-            
+            const reader = response.body?.getReader();
-            const data: AnalysisResponse = await response.json();
+            const decoder = new TextDecoder();
-            const endTime = new Date().toISOString();
+            let aggregate = '';
-            
+            if (reader) {
-            if (data.success) {
+              // 持续读取并追加到内容
-              // 更新状态
+              while (true) {
-              setAnalysisStates(prev => ({
+                const { value, done } = await reader.read();
-                ...prev,
+                if (done) break;
-                [analysisType]: { 
+                const chunk = decoder.decode(value, { stream: true });
-                  content: data.content, 
+                aggregate += chunk;
-                  loading: false, 
+                const snapshot = aggregate;
-                  error: null,
+                setAnalysisStates(prev => ({
-                  elapsed_ms: data.elapsed_ms,
+                  ...prev,
-                  tokens: data.tokens
+                  [analysisType]: {
-                }
+                    ...prev[analysisType],
-              }));
+                    content: snapshot,
-              
+                    loading: true,
-              // 更新执行记录
+                    error: null,
-              setAnalysisRecords(prev => prev.map(record => 
+                  }
-                record.type === analysisType
+                }));
-                  ? {
+              }
-                      ...record,
-                      status: 'done',
-                      end_ts: endTime,
-                      duration_ms: data.elapsed_ms,
-                      tokens: data.tokens
-                    }
-                  : record
-              ));
-            } else {
-              // 更新状态
-              setAnalysisStates(prev => ({
-                ...prev,
-                [analysisType]: { 
-                  content: '', 
-                  loading: false, 
-                  error: data.error || '生成失败',
-                  elapsed_ms: data.elapsed_ms,
-                  tokens: data.tokens
-                }
-              }));
-              
-              // 更新执行记录
-              setAnalysisRecords(prev => prev.map(record => 
-                record.type === analysisType
-                  ? {
-                      ...record,
-                      status: 'error',
-                      end_ts: endTime,
-                      duration_ms: data.elapsed_ms,
-                      tokens: data.tokens,
-                      error: data.error || '生成失败'
-                    }
-                  : record
-              ));
             }
+            const endTime = new Date().toISOString();
+            const elapsedMs = Date.now() - startedMsLocal;
+            setAnalysisStates(prev => ({
+              ...prev,
+              [analysisType]: {
+                ...prev[analysisType],
+                content: aggregate,
+                loading: false,
+                error: null,
+                elapsed_ms: elapsedMs,
+              }
+            }));
+            setAnalysisRecords(prev => prev.map(record => 
+              record.type === analysisType
+                ? {
+                    ...record,
+                    status: 'done',
+                    end_ts: endTime,
+                    duration_ms: elapsedMs,
+                  }
+                : record
+            ));
           } catch (err) {
-            // 若为主动中止，则把当前任务恢复为待处理并退出循环
             if (err && typeof err === 'object' && (err as any).name === 'AbortError') {
               setAnalysisStates(prev => ({
                 ...prev,
@@ -555,8 +524,6 @@ export default function ReportPage() {
             }
             const errorMessage = err instanceof Error ? err.message : '加载失败';
             const endTime = new Date().toISOString();
-            
-            // 更新状态
             setAnalysisStates(prev => ({
               ...prev,
               [analysisType]: { 
@@ -565,8 +532,6 @@ export default function ReportPage() {
                 error: errorMessage 
               }
             }));
-            
-            // 更新执行记录
             setAnalysisRecords(prev => prev.map(record => 
               record.type === analysisType
                 ? {
@@ -578,20 +543,16 @@ export default function ReportPage() {
                 : record
             ));
           } finally {
-            // 清除当前任务
             setCurrentAnalysisTask(null);
             currentAnalysisTypeRef.current = null;
             analysisFetchedRefs.current[analysisType] = true;
           }
         }
       } finally {
-        // 清除运行标志
         isAnalysisRunningRef.current = false;
       }
     };
-    
     runAnalysesSequentially();
-    // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [isChina, isLoading, error, financials, analysisConfig, analysisTypes, normalizedTsCode, manualRunKey]);
 
   const stopAll = () => {
@@ -603,14 +564,12 @@ export default function ReportPage() {
       analysisFetchedRefs.current[currentAnalysisTypeRef.current] = false;
     }
     setCurrentAnalysisTask(null);
-    // 暂停计时器
     setStartTime(null);
   };
 
   const continuePending = () => {
     if (isAnalysisRunningRef.current) return;
     stopRequestedRef.current = false;
-    // 恢复计时器：保持累计秒数继续计时
     setStartTime((prev) => (prev == null ? Date.now() - elapsedSeconds * 1000 : prev));
     setManualRunKey((k) => k + 1);
   };
@@ -618,7 +577,6 @@ export default function ReportPage() {
   return (
     <div className="space-y-4">
       <div className="flex items-stretch justify-between gap-4">
-        {/* 左侧：报告信息卡片 */}
         <Card className="flex-1">
           <CardHeader>
             <CardTitle className="text-xl">报告页面</CardTitle>
@@ -647,10 +605,9 @@ export default function ReportPage() {
                 )}
               </span>
             </div>
+            
           </CardContent>
         </Card>
-        
-        {/* 中间：操作卡片 */}
         {isChina && (
           <Card className="w-40 flex-shrink-0">
             <CardContent className="flex flex-col gap-2">
@@ -666,8 +623,6 @@ export default function ReportPage() {
             </CardContent>
           </Card>
         )}
-
-        {/* 右侧：任务状态 */}
         {isChina && (
           <Card className="w-80">
             <CardHeader className="flex flex-col space-y-2 pb-2">
@@ -685,10 +640,16 @@ export default function ReportPage() {
                   style={{ width: `${completionProgress}%` }}
                 />
               </div>
-              {/* 操作按钮已移至左侧信息卡片 */}
+              {allTasksCompleted && (
+                <div className="pt-2">
+                  <Button onClick={saveReport} disabled={saving} variant="outline">
+                    {saving ? '保存中...' : '保存报告'}
+                  </Button>
+                  {saveMsg && <span className="ml-2 text-xs text-muted-foreground">{saveMsg}</span>}
+                </div>
+              )}
             </CardHeader>
             <CardContent className="space-y-2">
-              {/* 当前正在进行的任务 */}
               {currentAnalysisTask && analysisConfig && (
                 (() => {
                   const analysisName = analysisConfig.analysis_modules[currentAnalysisTask]?.name || currentAnalysisTask;
@@ -704,44 +665,6 @@ export default function ReportPage() {
                   );
                 })()
               )}
-              
-              {/* 最近一个已完成的任务 */}
-                {(() => {
-                // 找到最近一个已完成的任务（按结束时间排序）
-                const completedRecords = analysisRecords
-                  .filter(r => r.status === 'done' && r.end_ts)
-                  .sort((a, b) => {
-                    if (!a.end_ts || !b.end_ts) return 0;
-                    return new Date(b.end_ts).getTime() - new Date(a.end_ts).getTime();
-                  });
-                
-                if (completedRecords.length > 0) {
-                  const latestRecord = completedRecords[0];
-                  return (
-                    <div className="flex items-center gap-2 text-sm">
-                      <CheckCircle className="size-4 text-green-600" />
-                      <div>
-                        <div className="font-medium">{latestRecord.name}</div>
-                        <div className="text-xs text-muted-foreground">已完成</div>
-                      </div>
-                    </div>
-                  );
-                }
-                
-                if (financials && !isLoading && !error) {
-                  return (
-                    <div className="flex items-center gap-2 text-sm">
-                      <CheckCircle className="size-4 text-green-600" />
-                      <div>
-                        <div className="font-medium">财务数据获取</div>
-                        <div className="text-xs text-muted-foreground">已完成</div>
-                      </div>
-                    </div>
-                  );
-                }
-                
-                return null;
-              })()}
             </CardContent>
           </Card>
         )}

frontend/src/app/reports/[id]/page.tsx

@@ -0,0 +1,767 @@
+import { prisma } from '../../../lib/prisma'
+import ReactMarkdown from 'react-markdown'
+import remarkGfm from 'remark-gfm'
+import { Tabs, TabsList, TabsTrigger, TabsContent } from '@/components/ui/tabs'
+import { Card, CardHeader, CardTitle, CardContent } from '@/components/ui/card'
+import { Table, TableHeader, TableBody, TableHead, TableRow, TableCell } from '@/components/ui/table'
+
+type Report = {
+  id: string
+  symbol: string
+  content: any
+  createdAt: string
+}
+
+export default async function ReportDetailPage({ params }: { params: Promise<{ id: string }> }) {
+  const { id } = await params
+  const data = await prisma.report.findUnique({ where: { id } })
+
+  if (!data) {
+    return <div className="text-sm text-red-600">未找到报告</div>
+  }
+
+  const content = (data.content ?? {}) as any
+  const analyses = (content?.analyses ?? {}) as Record<string, any>
+
+  // 规范化显示顺序（与生成报告时一致的中文 Tabs 次序）
+  const ordered = [
+    { id: 'financial', label: '财务数据' },
+    { id: 'company_profile', label: '公司简介' },
+    { id: 'fundamentals', label: '基本面分析' },
+    { id: 'bullish', label: '看涨分析' },
+    { id: 'bearish', label: '看跌分析' },
+    { id: 'market', label: '市场分析' },
+    { id: 'news', label: '新闻分析' },
+    { id: 'trading', label: '交易分析' },
+    { id: 'insiders_institutions', label: '内部人及机构动向分析' },
+    { id: 'final_conclusion', label: '最终结论' },
+    { id: 'meta', label: '元数据' },
+  ] as const
+
+  // 每个规范化 id 对应的候选后端 key（兼容不同命名）
+  const candidateKeys: Record<string, string[]> = {
+    company_profile: ['company_profile'],
+    fundamentals: ['fundamental_analysis', 'fundamentals_analysis', 'basic_analysis', 'basics_analysis'],
+    bullish: ['bullish_analysis', 'bullish_case', 'bull_case'],
+    bearish: ['bearish_analysis', 'bearish_case', 'bear_case'],
+    market: ['market_analysis'],
+    news: ['news_analysis'],
+    trading: ['trading_analysis'],
+    insiders_institutions: ['insider_institutional', 'insiders_institutions_analysis', 'insider_institution_analysis', 'insider_analysis'],
+    final_conclusion: ['final_conclusion', 'conclusion', 'investment_thesis'],
+  }
+
+  const findKey = (id: string): string | null => {
+    const c = candidateKeys[id]
+    if (!c) return null
+    for (const k of c) {
+      if (Object.prototype.hasOwnProperty.call(analyses, k)) return k
+    }
+    return null
+  }
+
+  // 去掉正文开头重复的大标题（Markdown 以 # 开头的行）
+  const stripTopHeadings = (text: string): string => {
+    const lines = String(text || '').split(/\r?\n/)
+    let i = 0
+    while (i < lines.length) {
+      const t = lines[i]?.trim() || ''
+      if (t === '') { i += 1; continue }
+      if (/^#{1,6}\s+/.test(t)) { i += 1; continue }
+      break
+    }
+    return lines.slice(i).join('\n').trimStart()
+  }
+
+  return (
+    <div className="space-y-4">
+      <div className="flex items-center justify-between">
+        <h1 className="text-2xl font-semibold">报告详情</h1>
+        <div className="text-sm text-muted-foreground">{new Date(data.createdAt).toLocaleString()}</div>
+      </div>
+
+      <Card>
+        <CardHeader>
+          <CardTitle className="text-base">基本信息</CardTitle>
+        </CardHeader>
+        <CardContent className="text-sm space-y-1">
+          <div className="flex flex-wrap items-center gap-4">
+            <span>股票代码：<span className="font-medium">{data.symbol}</span></span>
+            {content?.normalizedSymbol && (
+              <span>标准代码：<span className="font-medium">{String(content.normalizedSymbol)}</span></span>
+            )}
+            {(() => {
+              const companyName = (content?.financials?.name as string | undefined) || (content as any)?.company_name || (content as any)?.companyName
+              return companyName ? (
+                <span>公司名称：<span className="font-medium">{companyName}</span></span>
+              ) : null
+            })()}
+            {content?.market && (
+              <span>市场：<span className="font-medium">{String(content.market)}</span></span>
+            )}
+          </div>
+        </CardContent>
+      </Card>
+
+      <Tabs defaultValue={'financial'} className="mt-2">
+        <TabsList className="flex-wrap">
+          {ordered.map((o, idx) => (
+            <TabsTrigger key={o.id} value={o.id}>{`${idx + 1}. ${o.label}`}</TabsTrigger>
+          ))}
+        </TabsList>
+
+        <TabsContent value="financial" className="space-y-4">
+          <Card>
+            <CardHeader>
+              <CardTitle className="text-base">财务数据（保存自读取结果）</CardTitle>
+            </CardHeader>
+            <CardContent className="space-y-4">
+              {(() => {
+                const fin = (content?.financials ?? null) as null | {
+                  ts_code?: string
+                  name?: string
+                  series?: Record<string, Array<{ year: string; value: number | null; month?: number | null }>>
+                  meta?: any
+                }
+
+                const series = fin?.series || {}
+                const allPoints = Object.values(series).flat() as Array<{ year: string; value: number | null; month?: number | null }>
+                const years = Array.from(new Set(allPoints.map(p => p?.year).filter(Boolean) as string[])).sort((a, b) => Number(b) - Number(a))
+
+                const numberFormatter = new Intl.NumberFormat('zh-CN', { minimumFractionDigits: 2, maximumFractionDigits: 2 })
+                const integerFormatter = new Intl.NumberFormat('zh-CN', { minimumFractionDigits: 0, maximumFractionDigits: 0 })
+
+                const metricDisplayMap: Record<string, string> = {
+                  roe: 'ROE',
+                  roa: 'ROA',
+                  roic: 'ROCE/ROIC',
+                  grossprofit_margin: '毛利率',
+                  netprofit_margin: '净利润率',
+                  tr_yoy: '收入增速',
+                  dt_netprofit_yoy: '净利润增速',
+                  revenue: '收入',
+                  n_income: '净利润',
+                  n_cashflow_act: '经营现金流',
+                  c_pay_acq_const_fiolta: '资本开支',
+                  cash_div_tax: '分红',
+                  buyback: '回购',
+                  total_assets: '总资产',
+                  total_hldr_eqy_exc_min_int: '股东权益',
+                  goodwill: '商誉',
+                  total_mv: '市值',
+                }
+
+                const metricGroupMap: Record<string, string> = {
+                  revenue: 'income',
+                  n_income: 'income',
+                  total_assets: 'balancesheet',
+                  total_hldr_eqy_exc_min_int: 'balancesheet',
+                  goodwill: 'balancesheet',
+                  n_cashflow_act: 'cashflow',
+                  c_pay_acq_const_fiolta: 'cashflow',
+                }
+
+                if (years.length === 0) {
+                  return (
+                    <div className="text-sm text-muted-foreground">
+                      暂无保存的财务数据。下次保存报告时会一并保存财务数据。
+                    </div>
+                  )
+                }
+
+                const currentYearStr = String(new Date().getFullYear())
+                const getQuarter = (month: number | null | undefined) => {
+                  if (month == null) return null
+                  return Math.floor((month - 1) / 3) + 1
+                }
+
+                const PERCENT_KEYS = new Set(['roe','roa','roic','grossprofit_margin','netprofit_margin','tr_yoy','dt_netprofit_yoy'])
+
+                const ORDER: Array<{ key: string; label?: string; kind?: 'computed' }> = [
+                  { key: 'roe' },
+                  { key: 'roa' },
+                  { key: 'roic' },
+                  { key: 'grossprofit_margin' },
+                  { key: 'netprofit_margin' },
+                  { key: 'revenue' },
+                  { key: 'tr_yoy' },
+                  { key: 'n_income' },
+                  { key: 'dt_netprofit_yoy' },
+                  { key: 'n_cashflow_act' },
+                  { key: 'c_pay_acq_const_fiolta' },
+                  { key: '__free_cash_flow', label: '自由现金流', kind: 'computed' },
+                  { key: 'cash_div_tax', label: '分红' },
+                  { key: 'buyback', label: '回购' },
+                  { key: 'total_assets' },
+                  { key: 'total_hldr_eqy_exc_min_int' },
+                  { key: 'goodwill' },
+                ]
+
+                return (
+                  <div className="overflow-x-auto">
+                    <Table className="min-w-full text-sm">
+                      <TableHeader>
+                        <TableRow>
+                          <TableHead className="text-left p-2">指标</TableHead>
+                          {years.map((y) => {
+                            const yearData = allPoints.find(p => p.year === y)
+                            const isCurrent = y === currentYearStr
+                            const quarter = yearData?.month ? getQuarter(yearData.month) : null
+                            const label = isCurrent && quarter ? `${y} Q${quarter}` : y
+                            return <TableHead key={y} className="text-right p-2">{label}</TableHead>
+                          })}
+                        </TableRow>
+                      </TableHeader>
+                      <TableBody>
+                        {(() => {
+                          const summaryRow = (
+                            <TableRow key="__main_metrics_row" className="bg-muted hover:bg-purple-100">
+                              <TableCell className="p-2 font-medium ">主要指标</TableCell>
+                              {years.map((y) => (
+                                <TableCell key={y} className="p-2"></TableCell>
+                              ))}
+                            </TableRow>
+                          )
+
+                          const rows = ORDER.map(({ key, label, kind }) => {
+                          const isComputed = kind === 'computed' && key === '__free_cash_flow'
+                          const points = series[key] as Array<{ year?: string; value?: number | null }>|undefined
+                          const operating = series['n_cashflow_act'] as Array<{ year?: string; value?: number | null }>|undefined
+                          const capex = series['c_pay_acq_const_fiolta'] as Array<{ year?: string; value?: number | null }>|undefined
+                          return (
+                            <TableRow key={key} className="hover:bg-purple-100">
+                              <TableCell className="p-2 text-muted-foreground">{label || metricDisplayMap[key] || key}</TableCell>
+                              {years.map((y) => {
+                                let v: number | null | undefined = undefined
+                                if (isComputed) {
+                                  const op = operating?.find(p => p?.year === y)?.value ?? null
+                                  const cp = capex?.find(p => p?.year === y)?.value ?? null
+                                  v = (op == null || cp == null) ? null : (Number(op) - Number(cp))
+                                } else {
+                                  v = points?.find(p => p?.year === y)?.value ?? null
+                                }
+
+                                const groupName = metricGroupMap[key]
+                                const rawNum = typeof v === 'number' ? v : (v == null ? null : Number(v))
+                                if (rawNum == null || Number.isNaN(rawNum)) {
+                                  return <TableCell key={y} className="text-right p-2">-</TableCell>
+                                }
+                                if (PERCENT_KEYS.has(key)) {
+                                  const perc = Math.abs(rawNum) <= 1 ? rawNum * 100 : rawNum
+                                  const text = Number.isFinite(perc) ? numberFormatter.format(perc) : '-'
+                                  const isGrowthRow = key === 'tr_yoy' || key === 'dt_netprofit_yoy'
+                                  if (isGrowthRow) {
+                                    const isNeg = typeof perc === 'number' && perc < 0
+                                    return (
+                                      <TableCell key={y} className="text-right p-2">
+                                        <span className={isNeg ? 'text-red-600 bg-red-100 italic' : 'text-blue-600 italic'}>{text}%</span>
+                                      </TableCell>
+                                    )
+                                  }
+                                  if (key === 'roe' || key === 'roic') {
+                                    const highlight = typeof perc === 'number' && perc > 12
+                                    return (
+                                      <TableCell key={y} className={`text-right p-2 ${highlight ? 'bg-green-200' : ''}`}>{`${text}%`}</TableCell>
+                                    )
+                                  }
+                                  return <TableCell key={y} className="text-right p-2">{`${text}%`}</TableCell>
+                                } else {
+                                  const isFinGroup = groupName === 'income' || groupName === 'balancesheet' || groupName === 'cashflow'
+                                  const scaled = key === 'total_mv' ? rawNum / 10000 : (isFinGroup || isComputed ? rawNum / 1e8 : rawNum)
+                                  const formatter = key === 'total_mv' ? integerFormatter : numberFormatter
+                                  const text = Number.isFinite(scaled) ? formatter.format(scaled) : '-'
+                                  if (key === '__free_cash_flow') {
+                                    const isNeg = typeof scaled === 'number' && scaled < 0
+                                    return (
+                                      <TableCell key={y} className="text-right p-2">{isNeg ? <span className="text-red-600 bg-red-100">{text}</span> : text}</TableCell>
+                                    )
+                                  }
+                                  return <TableCell key={y} className="text-right p-2">{text}</TableCell>
+                                }
+                              })}
+                            </TableRow>
+                          )
+                          })
+
+                          const getVal = (arr: Array<{ year?: string; value?: number | null }> | undefined, y: string) => {
+                            const v = arr?.find(p => p?.year === y)?.value
+                            return typeof v === 'number' ? v : (v == null ? null : Number(v))
+                          }
+
+                          // 费用指标
+                          const feeHeaderRow = (
+                            <TableRow key="__fee_metrics_row" className="bg-muted hover:bg-purple-100">
+                              <TableCell className="p-2 font-medium ">费用指标</TableCell>
+                              {years.map((y) => (
+                                <TableCell key={y} className="p-2"></TableCell>
+                              ))}
+                            </TableRow>
+                          )
+                          const feeRows = [
+                            { key: '__sell_rate', label: '销售费用率', num: series['sell_exp'] as any, den: series['revenue'] as any },
+                            { key: '__admin_rate', label: '管理费用率', num: series['admin_exp'] as any, den: series['revenue'] as any },
+                            { key: '__rd_rate', label: '研发费用率', num: series['rd_exp'] as any, den: series['revenue'] as any },
+                            { key: '__other_fee_rate', label: '其他费用率', num: undefined, den: series['revenue'] as any },
+                            { key: '__tax_rate', label: '所得税率', num: series['tax_to_ebt'] as any, den: undefined },
+                            { key: '__depr_ratio', label: '折旧费用占比', num: series['depr_fa_coga_dpba'] as any, den: series['revenue'] as any },
+                          ].map(({ key, label, num, den }) => (
+                            <TableRow key={key} className="hover:bg-purple-100">
+                              <TableCell className="p-2 text-muted-foreground">{label}</TableCell>
+                              {years.map((y) => {
+                                let rate: number | null = null
+                                if (key === '__tax_rate') {
+                                  const numerator = getVal(num, y)
+                                  if (numerator == null || Number.isNaN(numerator)) {
+                                    rate = null
+                                  } else if (Math.abs(numerator) <= 1) {
+                                    rate = numerator * 100
+                                  } else {
+                                    rate = numerator
+                                  }
+                                } else if (key === '__other_fee_rate') {
+                                  const gpRaw = getVal(series['grossprofit_margin'] as any, y)
+                                  const npRaw = getVal(series['netprofit_margin'] as any, y)
+                                  const rev = getVal(series['revenue'] as any, y)
+                                  const sell = getVal(series['sell_exp'] as any, y)
+                                  const admin = getVal(series['admin_exp'] as any, y)
+                                  const rd = getVal(series['rd_exp'] as any, y)
+                                  if (gpRaw == null || npRaw == null || rev == null || rev === 0 || sell == null || admin == null || rd == null) {
+                                    rate = null
+                                  } else {
+                                    const gp = Math.abs(gpRaw) <= 1 ? gpRaw * 100 : gpRaw
+                                    const np = Math.abs(npRaw) <= 1 ? npRaw * 100 : npRaw
+                                    const sellRate = (sell / rev) * 100
+                                    const adminRate = (admin / rev) * 100
+                                    const rdRate = (rd / rev) * 100
+                                    rate = gp - np - sellRate - adminRate - rdRate
+                                  }
+                                } else {
+                                  const numerator = getVal(num, y)
+                                  const denominator = getVal(den, y)
+                                  if (numerator == null || denominator == null || denominator === 0) {
+                                    rate = null
+                                  } else {
+                                    rate = (numerator / denominator) * 100
+                                  }
+                                }
+                                if (rate == null || !Number.isFinite(rate)) {
+                                  return <TableCell key={y} className="text-right p-2">-</TableCell>
+                                }
+                                const rateText = numberFormatter.format(rate)
+                                const isNegative = rate < 0
+                                return (
+                                  <TableCell key={y} className="text-right p-2">
+                                    {isNegative ? <span className="text-red-600 bg-red-100">{rateText}%</span> : `${rateText}%`}
+                                  </TableCell>
+                                )
+                              })}
+                            </TableRow>
+                          ))
+
+                          // 资产占比
+                          const assetHeaderRow = (
+                            <TableRow key="__asset_ratio_row" className="bg-muted hover:bg-purple-100">
+                              <TableCell className="p-2 font-medium ">资产占比</TableCell>
+                              {years.map((y) => (
+                                <TableCell key={y} className="p-2"></TableCell>
+                              ))}
+                            </TableRow>
+                          )
+                          const ratioCell = (value: number | null, y: string) => {
+                            if (value == null || !Number.isFinite(value)) {
+                              return <TableCell key={y} className="text-right p-2">-</TableCell>
+                            }
+                            const text = numberFormatter.format(value)
+                            const isNegative = value < 0
+                            return (
+                              <TableCell key={y} className="text-right p-2">
+                                {isNegative ? <span className="text-red-600 bg-red-100">{text}%</span> : `${text}%`}
+                              </TableCell>
+                            )
+                          }
+                          const assetRows = [
+                            { key: '__money_cap_ratio', label: '现金占比', calc: (y: string) => {
+                              const num = getVal(series['money_cap'] as any, y)
+                              const den = getVal(series['total_assets'] as any, y)
+                              return num == null || den == null || den === 0 ? null : (num / den) * 100
+                            } },
+                            { key: '__inventories_ratio', label: '库存占比', calc: (y: string) => {
+                              const num = getVal(series['inventories'] as any, y)
+                              const den = getVal(series['total_assets'] as any, y)
+                              return num == null || den == null || den === 0 ? null : (num / den) * 100
+                            } },
+                            { key: '__ar_ratio', label: '应收款占比', calc: (y: string) => {
+                              const num = getVal(series['accounts_receiv_bill'] as any, y)
+                              const den = getVal(series['total_assets'] as any, y)
+                              return num == null || den == null || den === 0 ? null : (num / den) * 100
+                            } },
+                            { key: '__prepay_ratio', label: '预付款占比', calc: (y: string) => {
+                              const num = getVal(series['prepayment'] as any, y)
+                              const den = getVal(series['total_assets'] as any, y)
+                              return num == null || den == null || den === 0 ? null : (num / den) * 100
+                            } },
+                            { key: '__fix_assets_ratio', label: '固定资产占比', calc: (y: string) => {
+                              const num = getVal(series['fix_assets'] as any, y)
+                              const den = getVal(series['total_assets'] as any, y)
+                              return num == null || den == null || den === 0 ? null : (num / den) * 100
+                            } },
+                            { key: '__lt_invest_ratio', label: '长期投资占比', calc: (y: string) => {
+                              const num = getVal(series['lt_eqt_invest'] as any, y)
+                              const den = getVal(series['total_assets'] as any, y)
+                              return num == null || den == null || den === 0 ? null : (num / den) * 100
+                            } },
+                            { key: '__goodwill_ratio', label: '商誉占比', calc: (y: string) => {
+                              const num = getVal(series['goodwill'] as any, y)
+                              const den = getVal(series['total_assets'] as any, y)
+                              return num == null || den == null || den === 0 ? null : (num / den) * 100
+                            } },
+                            { key: '__other_assets_ratio', label: '其他资产占比', calc: (y: string) => {
+                              const total = getVal(series['total_assets'] as any, y)
+                              if (total == null || total === 0) return null
+                              const parts = [
+                                getVal(series['money_cap'] as any, y) || 0,
+                                getVal(series['inventories'] as any, y) || 0,
+                                getVal(series['accounts_receiv_bill'] as any, y) || 0,
+                                getVal(series['prepayment'] as any, y) || 0,
+                                getVal(series['fix_assets'] as any, y) || 0,
+                                getVal(series['lt_eqt_invest'] as any, y) || 0,
+                                getVal(series['goodwill'] as any, y) || 0,
+                              ]
+                              const sumKnown = parts.reduce((acc: number, v: number) => acc + v, 0)
+                              return ((total - sumKnown) / total) * 100
+                            } },
+                            { key: '__ap_ratio', label: '应付款占比', calc: (y: string) => {
+                              const num = getVal(series['accounts_pay'] as any, y)
+                              const den = getVal(series['total_assets'] as any, y)
+                              return num == null || den == null || den === 0 ? null : (num / den) * 100
+                            } },
+                            { key: '__adv_ratio', label: '预收款占比', calc: (y: string) => {
+                              const adv = getVal(series['adv_receipts'] as any, y) || 0
+                              const contractLiab = getVal(series['contract_liab'] as any, y) || 0
+                              const num = adv + contractLiab
+                              const den = getVal(series['total_assets'] as any, y)
+                              return den == null || den === 0 ? null : (num / den) * 100
+                            } },
+                            { key: '__st_borr_ratio', label: '短期借款占比', calc: (y: string) => {
+                              const num = getVal(series['st_borr'] as any, y)
+                              const den = getVal(series['total_assets'] as any, y)
+                              return num == null || den == null || den === 0 ? null : (num / den) * 100
+                            } },
+                            { key: '__lt_borr_ratio', label: '长期借款占比', calc: (y: string) => {
+                              const num = getVal(series['lt_borr'] as any, y)
+                              const den = getVal(series['total_assets'] as any, y)
+                              return num == null || den == null || den === 0 ? null : (num / den) * 100
+                            } },
+                            { key: '__interest_bearing_debt_ratio', label: '有息负债率', calc: (y: string) => {
+                              const total = getVal(series['total_assets'] as any, y)
+                              if (total == null || total === 0) return null
+                              const st = getVal(series['st_borr'] as any, y) || 0
+                              const lt = getVal(series['lt_borr'] as any, y) || 0
+                              return ((st + lt) / total) * 100
+                            } },
+                            { key: '__operating_assets_ratio', label: '运营资产占比', calc: (y: string) => {
+                              const total = getVal(series['total_assets'] as any, y)
+                              if (total == null || total === 0) return null
+                              const inv = getVal(series['inventories'] as any, y) || 0
+                              const ar = getVal(series['accounts_receiv_bill'] as any, y) || 0
+                              const pre = getVal(series['prepayment'] as any, y) || 0
+                              const ap = getVal(series['accounts_pay'] as any, y) || 0
+                              const adv = getVal(series['adv_receipts'] as any, y) || 0
+                              const contractLiab = getVal(series['contract_liab'] as any, y) || 0
+                              const operating = inv + ar + pre - ap - adv - contractLiab
+                              return (operating / total) * 100
+                            } },
+                          ].map(({ key, label, calc }) => (
+                            <TableRow key={key} className={`hover:bg-purple-100 ${key === '__other_assets_ratio' ? 'bg-yellow-50' : ''}`}>
+                              <TableCell className="p-2 text-muted-foreground">{label}</TableCell>
+                              {years.map((y) => ratioCell(calc(y), y))}
+                            </TableRow>
+                          ))
+
+                          // 周转能力
+                          const turnoverHeaderRow = (
+                            <TableRow key="__turnover_row" className="bg-muted hover:bg-purple-100">
+                              <TableCell className="p-2 font-medium ">周转能力</TableCell>
+                              {years.map((y) => (
+                                <TableCell key={y} className="p-2"></TableCell>
+                              ))}
+                            </TableRow>
+                          )
+                          const getYearNumber = (ys: string) => {
+                            const n = Number(ys)
+                            return Number.isFinite(n) ? n : null
+                          }
+                          const getPoint = (arr: Array<{ year?: string; value?: number | null }> | undefined, year: string) => {
+                            return arr?.find(p => p?.year === year)?.value ?? null
+                          }
+                          const getAvg = (arr: Array<{ year?: string; value?: number | null }> | undefined, year: string) => {
+                            const curr = getPoint(arr, year)
+                            const yNum = getYearNumber(year)
+                            const prevYear = yNum != null ? String(yNum - 1) : null
+                            const prev = prevYear ? getPoint(arr, prevYear) : null
+                            const c = typeof curr === 'number' ? curr : (curr == null ? null : Number(curr))
+                            const p = typeof prev === 'number' ? prev : (prev == null ? null : Number(prev))
+                            if (c == null) return null
+                            if (p == null) return c
+                            return (c + p) / 2
+                          }
+                          const getMarginRatio = (year: string) => {
+                            const gmRaw = getPoint(series['grossprofit_margin'] as any, year)
+                            if (gmRaw == null) return null
+                            const gmNum = typeof gmRaw === 'number' ? gmRaw : Number(gmRaw)
+                            if (!Number.isFinite(gmNum)) return null
+                            return Math.abs(gmNum) <= 1 ? gmNum : gmNum / 100
+                          }
+                          const getRevenue = (year: string) => {
+                            const rev = getPoint(series['revenue'] as any, year)
+                            const r = typeof rev === 'number' ? rev : (rev == null ? null : Number(rev))
+                            return r
+                          }
+                          const getCOGS = (year: string) => {
+                            const rev = getRevenue(year)
+                            const gm = getMarginRatio(year)
+                            if (rev == null || gm == null) return null
+                            const cogs = rev * (1 - gm)
+                            return Number.isFinite(cogs) ? cogs : null
+                          }
+                          const turnoverItems: Array<{ key: string; label: string }> = [
+                            { key: 'invturn_days', label: '存货周转天数' },
+                            { key: 'arturn_days', label: '应收款周转天数' },
+                            { key: 'payturn_days', label: '应付款周转天数' },
+                            { key: 'fa_turn', label: '固定资产周转率' },
+                            { key: 'assets_turn', label: '总资产周转率' },
+                          ]
+                          const turnoverRows = turnoverItems.map(({ key, label }) => (
+                            <TableRow key={key} className="hover:bg-purple-100">
+                              <TableCell className="p-2 text-muted-foreground">{label}</TableCell>
+                              {years.map((y) => {
+                                let value: number | null = null
+                                if (key === 'payturn_days') {
+                                  const avgAP = getAvg(series['accounts_pay'] as any, y)
+                                  const cogs = getCOGS(y)
+                                  value = avgAP == null || cogs == null || cogs === 0 ? null : (365 * avgAP) / cogs
+                                } else {
+                                  const arr = series[key] as Array<{ year?: string; value?: number | null }> | undefined
+                                  const v = arr?.find(p => p?.year === y)?.value ?? null
+                                  const num = typeof v === 'number' ? v : (v == null ? null : Number(v))
+                                  value = num == null || Number.isNaN(num) ? null : num
+                                }
+                                if (value == null || !Number.isFinite(value)) {
+                                  return <TableCell key={y} className="text-right p-2">-</TableCell>
+                                }
+                                const text = numberFormatter.format(value)
+                                if (key === 'arturn_days' && value > 90) {
+                                  return (
+                                    <TableCell key={y} className="text-right p-2 bg-red-100 text-red-600">{text}</TableCell>
+                                  )
+                                }
+                                return <TableCell key={y} className="text-right p-2">{text}</TableCell>
+                              })}
+                            </TableRow>
+                          ))
+
+                          // 人均效率
+                          const perCapitaHeaderRow = (
+                            <TableRow key="__per_capita_row" className="bg-muted hover:bg-purple-100">
+                              <TableCell className="p-2 font-medium ">人均效率</TableCell>
+                              {years.map((y) => (
+                                <TableCell key={y} className="p-2"></TableCell>
+                              ))}
+                            </TableRow>
+                          )
+                          const employeesRow = (
+                            <TableRow key="__employees_row" className="hover:bg-purple-100">
+                              <TableCell className="p-2 text-muted-foreground">员工人数</TableCell>
+                              {years.map((y) => {
+                                const v = getVal(series['employees'] as any, y)
+                                if (v == null || !Number.isFinite(v)) {
+                                  return <TableCell key={y} className="text-right p-2">-</TableCell>
+                                }
+                                return <TableCell key={y} className="text-right p-2">{integerFormatter.format(Math.round(v))}</TableCell>
+                              })}
+                            </TableRow>
+                          )
+                          const revPerEmpRow = (
+                            <TableRow key="__rev_per_emp_row" className="hover:bg-purple-100">
+                              <TableCell className="p-2 text-muted-foreground">人均创收（万元）</TableCell>
+                              {years.map((y) => {
+                                const rev = getVal(series['revenue'] as any, y)
+                                const emp = getVal(series['employees'] as any, y)
+                                if (rev == null || emp == null || emp === 0) {
+                                  return <TableCell key={y} className="text-right p-2">-</TableCell>
+                                }
+                                const val = (rev / emp) / 10000
+                                return <TableCell key={y} className="text-right p-2">{numberFormatter.format(val)}</TableCell>
+                              })}
+                            </TableRow>
+                          )
+                          const profitPerEmpRow = (
+                            <TableRow key="__profit_per_emp_row" className="hover:bg-purple-100">
+                              <TableCell className="p-2 text-muted-foreground">人均创利（万元）</TableCell>
+                              {years.map((y) => {
+                                const prof = getVal(series['n_income'] as any, y)
+                                const emp = getVal(series['employees'] as any, y)
+                                if (prof == null || emp == null || emp === 0) {
+                                  return <TableCell key={y} className="text-right p-2">-</TableCell>
+                                }
+                                const val = (prof / emp) / 10000
+                                return <TableCell key={y} className="text-right p-2">{numberFormatter.format(val)}</TableCell>
+                              })}
+                            </TableRow>
+                          )
+                          const salaryPerEmpRow = (
+                            <TableRow key="__salary_per_emp_row" className="hover:bg-purple-100">
+                              <TableCell className="p-2 text-muted-foreground">人均工资（万元）</TableCell>
+                              {years.map((y) => {
+                                const salaryPaid = getVal(series['c_paid_to_for_empl'] as any, y)
+                                const emp = getVal(series['employees'] as any, y)
+                                if (salaryPaid == null || emp == null || emp === 0) {
+                                  return <TableCell key={y} className="text-right p-2">-</TableCell>
+                                }
+                                const val = (salaryPaid / emp) / 10000
+                                return <TableCell key={y} className="text-right p-2">{numberFormatter.format(val)}</TableCell>
+                              })}
+                            </TableRow>
+                          )
+
+                          // 市场表现
+                          const marketHeaderRow = (
+                            <TableRow key="__market_perf_row" className="bg-muted hover:bg-purple-100">
+                              <TableCell className="p-2 font-medium ">市场表现</TableCell>
+                              {years.map((y) => (
+                                <TableCell key={y} className="p-2"></TableCell>
+                              ))}
+                            </TableRow>
+                          )
+                          const priceRow = (
+                            <TableRow key="__price_row" className="hover:bg-purple-100">
+                              <TableCell className="p-2 text-muted-foreground">股价</TableCell>
+                              {years.map((y) => {
+                                const arr = series['close'] as Array<{ year?: string; value?: number | null }> | undefined
+                                const v = arr?.find(p => p?.year === y)?.value ?? null
+                                const num = typeof v === 'number' ? v : (v == null ? null : Number(v))
+                                if (num == null || !Number.isFinite(num)) return <TableCell key={y} className="text-right p-2">-</TableCell>
+                                return <TableCell key={y} className="text-right p-2">{numberFormatter.format(num)}</TableCell>
+                              })}
+                            </TableRow>
+                          )
+                          const marketCapRow = (
+                            <TableRow key="__market_cap_row" className="hover:bg-purple-100">
+                              <TableCell className="p-2 text-muted-foreground">市值（亿元）</TableCell>
+                              {years.map((y) => {
+                                const arr = series['total_mv'] as Array<{ year?: string; value?: number | null }> | undefined
+                                const v = arr?.find(p => p?.year === y)?.value ?? null
+                                const num = typeof v === 'number' ? v : (v == null ? null : Number(v))
+                                if (num == null || !Number.isFinite(num)) return <TableCell key={y} className="text-right p-2">-</TableCell>
+                                const scaled = num / 10000
+                                return <TableCell key={y} className="text-right p-2">{integerFormatter.format(Math.round(scaled))}</TableCell>
+                              })}
+                            </TableRow>
+                          )
+                          const peRow = (
+                            <TableRow key="__pe_row" className="hover:bg-purple-100">
+                              <TableCell className="p-2 text-muted-foreground">PE</TableCell>
+                              {years.map((y) => {
+                                const arr = series['pe'] as Array<{ year?: string; value?: number | null }> | undefined
+                                const v = arr?.find(p => p?.year === y)?.value ?? null
+                                const num = typeof v === 'number' ? v : (v == null ? null : Number(v))
+                                if (num == null || !Number.isFinite(num)) return <TableCell key={y} className="text-right p-2">-</TableCell>
+                                return <TableCell key={y} className="text-right p-2">{numberFormatter.format(num)}</TableCell>
+                              })}
+                            </TableRow>
+                          )
+                          const pbRow = (
+                            <TableRow key="__pb_row" className="hover:bg-purple-100">
+                              <TableCell className="p-2 text-muted-foreground">PB</TableCell>
+                              {years.map((y) => {
+                                const arr = series['pb'] as Array<{ year?: string; value?: number | null }> | undefined
+                                const v = arr?.find(p => p?.year === y)?.value ?? null
+                                const num = typeof v === 'number' ? v : (v == null ? null : Number(v))
+                                if (num == null || !Number.isFinite(num)) return <TableCell key={y} className="text-right p-2">-</TableCell>
+                                return <TableCell key={y} className="text-right p-2">{numberFormatter.format(num)}</TableCell>
+                              })}
+                            </TableRow>
+                          )
+                          const holderNumRow = (
+                            <TableRow key="__holder_num_row" className="hover:bg-purple-100">
+                              <TableCell className="p-2 text-muted-foreground">股东户数</TableCell>
+                              {years.map((y) => {
+                                const arr = series['holder_num'] as Array<{ year?: string; value?: number | null }> | undefined
+                                const v = arr?.find(p => p?.year === y)?.value ?? null
+                                const num = typeof v === 'number' ? v : (v == null ? null : Number(v))
+                                if (num == null || !Number.isFinite(num)) return <TableCell key={y} className="text-right p-2">-</TableCell>
+                                return <TableCell key={y} className="text-right p-2">{integerFormatter.format(Math.round(num))}</TableCell>
+                              })}
+                            </TableRow>
+                          )
+
+                          return [
+                            summaryRow,
+                            ...rows,
+                            feeHeaderRow,
+                            ...feeRows,
+                            assetHeaderRow,
+                            ...assetRows,
+                            turnoverHeaderRow,
+                            ...turnoverRows,
+                            perCapitaHeaderRow,
+                            employeesRow,
+                            revPerEmpRow,
+                            profitPerEmpRow,
+                            salaryPerEmpRow,
+                            marketHeaderRow,
+                            priceRow,
+                            marketCapRow,
+                            peRow,
+                            pbRow,
+                            holderNumRow,
+                          ]
+                        })()}
+                      </TableBody>
+                    </Table>
+                  </div>
+                )
+              })()}
+
+            </CardContent>
+          </Card>
+        </TabsContent>
+
+        <TabsContent value="meta" className="space-y-4">
+          <Card>
+            <CardHeader>
+              <CardTitle className="text-base">元数据（数据库原始记录）</CardTitle>
+            </CardHeader>
+            <CardContent>
+              <pre className="text-xs leading-relaxed overflow-auto">
+                {JSON.stringify(data, null, 2)}
+              </pre>
+            </CardContent>
+          </Card>
+        </TabsContent>
+
+        {ordered.filter(o => o.id !== 'financial' && o.id !== 'meta').map((o) => {
+          const key = findKey(o.id)
+          const item = key ? analyses[key] || {} : {}
+          const md = stripTopHeadings(String(item?.content || ''))
+          const err = item?.error as string | undefined
+          return (
+            <TabsContent key={o.id} value={o.id} className="space-y-3">
+              {err && <div className="text-sm text-red-600">{err}</div>}
+              <div className="border rounded-lg p-6 bg-card">
+                <article className="markdown-body" style={{
+                  boxSizing: 'border-box', minWidth: '200px', maxWidth: '980px', margin: '0 auto', padding: 0
+                }}>
+                  <h2 className="text-lg font-medium mb-3">{o.label}</h2>
+                  <ReactMarkdown remarkPlugins={[remarkGfm]}>
+                    {md}
+                  </ReactMarkdown>
+                </article>
+              </div>
+            </TabsContent>
+          )
+        })}
+      </Tabs>
+    </div>
+  )
+}

frontend/src/app/reports/page.tsx

@@ -1,48 +1,60 @@
-import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card";
+import Link from 'next/link'
-import { Badge } from "@/components/ui/badge";
+import { headers } from 'next/headers'
+
+async function fetchReports(baseUrl: string) {
+  const url = `${baseUrl}/api/reports?limit=50`
+  const resp = await fetch(url, { cache: 'no-store' })
+  if (!resp.ok) {
+    return { items: [], total: 0 }
+  }
+  return resp.json() as Promise<{ items: Array<{ id: string; symbol: string; createdAt: string; content?: any }>; total: number }>
+}
+
+export default async function ReportsPage() {
+  const h = await headers()
+  const host = h.get('x-forwarded-host') || h.get('host') || 'localhost:3000'
+  const proto = h.get('x-forwarded-proto') || 'http'
+  const base = process.env.NEXT_PUBLIC_BASE_URL || `${proto}://${host}`
+  const { items, total } = await fetchReports(base)
 
-export default function ReportsPage() {
   return (
-    <div className="space-y-6">
+    <div className="space-y-4">
-      <header className="space-y-2">
+      <div className="flex items-center justify-between">
-        <h1 className="text-2xl font-semibold">报表中心</h1>
+        <h1 className="text-2xl font-semibold">历史分析报告</h1>
-        <p className="text-sm text-muted-foreground">查看与管理财务报表与分析结果。</p>
+        <div className="text-sm text-muted-foreground">共 {total} 条</div>
-      </header>
-
-      <div className="grid gap-4 sm:grid-cols-2 lg:grid-cols-3">
-        <Card>
-          <CardHeader>
-            <CardTitle>利润表</CardTitle>
-            <CardDescription>收入、成本、净利润</CardDescription>
-          </CardHeader>
-          <CardContent className="space-x-2">
-            <Badge variant="outline">季度</Badge>
-            <Badge variant="secondary">年度</Badge>
-          </CardContent>
-        </Card>
-
-        <Card>
-          <CardHeader>
-            <CardTitle>资产负债表</CardTitle>
-            <CardDescription>资产、负债、权益</CardDescription>
-          </CardHeader>
-          <CardContent className="space-x-2">
-            <Badge variant="outline">结构</Badge>
-            <Badge variant="secondary">趋势</Badge>
-          </CardContent>
-        </Card>
-
-        <Card>
-          <CardHeader>
-            <CardTitle>现金流量表</CardTitle>
-            <CardDescription>经营、投资、筹资</CardDescription>
-          </CardHeader>
-          <CardContent className="space-x-2">
-            <Badge variant="outline">自由现金流</Badge>
-            <Badge variant="secondary">质量</Badge>
-          </CardContent>
-        </Card>
       </div>
+
+      {items.length === 0 ? (
+        <p className="text-sm text-muted-foreground">暂无报告</p>
+      ) : (
+        <div className="overflow-x-auto border rounded-md">
+          <table className="min-w-full text-sm">
+            <thead>
+              <tr className="bg-muted">
+                <th className="text-left p-3">股票代码</th>
+                <th className="text-left p-3">公司名称</th>
+                <th className="text-left p-3">创建时间</th>
+                <th className="text-right p-3">操作</th>
+              </tr>
+            </thead>
+            <tbody>
+              {items.map((r) => {
+                const name = (r as any)?.content?.financials?.name || (r as any)?.content?.company_name || ''
+                return (
+                  <tr key={r.id} className="border-t hover:bg-muted/50">
+                    <td className="p-3 font-medium">{r.symbol}</td>
+                    <td className="p-3">{name || <span className="text-muted-foreground">-</span>}</td>
+                    <td className="p-3">{new Date(r.createdAt).toLocaleString()}</td>
+                    <td className="p-3 text-right">
+                      <Link href={`/reports/${r.id}`} className="text-primary hover:underline">查看</Link>
+                    </td>
+                  </tr>
+                )
+              })}
+            </tbody>
+          </table>
+        </div>
+      )}
     </div>
-  );
+  )
 }

frontend/src/lib/prisma.ts

@@ -0,0 +1,13 @@
+import { PrismaClient } from '@prisma/client'
+
+const globalForPrisma = global as unknown as { prisma?: PrismaClient }
+
+export const prisma =
+  globalForPrisma.prisma ||
+  new PrismaClient({
+    log: ['error', 'warn']
+  })
+
+if (process.env.NODE_ENV !== 'production') globalForPrisma.prisma = prisma
+
+

scripts/dev.sh

@@ -13,9 +13,12 @@ BACKEND_DIR="$REPO_ROOT/backend"
 FRONTEND_DIR="$REPO_ROOT/frontend"
 CONFIG_FILE="$REPO_ROOT/config/config.json"
 
+# Guard to ensure cleanup runs only once
+__CLEANED_UP=0
+
 # Port configuration
 BACKEND_PORT=8000
-FRONTEND_PORT=3000
+FRONTEND_PORT=3001
 
 # Kill process using specified port
 kill_port() {
@@ -70,8 +73,10 @@ run_backend() {
   ensure_backend
   cd "$BACKEND_DIR"
   # Run and colorize output (avoid stdbuf on macOS)
-  UVICORN_CMD=(uvicorn app.main:app --reload --port "$BACKEND_PORT")
+  UVICORN_CMD=(uvicorn app.main:app --reload --port "$BACKEND_PORT" --log-level info)
-  "${UVICORN_CMD[@]}" 2>&1 | awk -v p="[BACKEND]" -v color="$GREEN" -v reset="$RESET" '{print color p " " $0 reset}'
+  "${UVICORN_CMD[@]}" 2>&1 | while IFS= read -r line; do
+    printf "%b[%s] [BACKEND] %s%b\n" "$GREEN" "$(date '+%Y-%m-%d %H:%M:%S')" "$line" "$RESET"
+  done
 }
 
 ensure_frontend() {
@@ -85,27 +90,70 @@ ensure_frontend() {
 run_frontend() {
   ensure_frontend
   cd "$FRONTEND_DIR"
-  npm run dev 2>&1 | awk -v p="[FRONTEND]" -v color="$CYAN" -v reset="$RESET" '{print color p " " $0 reset}'
+  npm run dev 2>&1 | while IFS= read -r line; do
+    printf "%b[%s] [FRONTEND] %s%b\n" "$CYAN" "$(date '+%Y-%m-%d %H:%M:%S')" "$line" "$RESET"
+  done
+}
+
+# Recursively kill a process tree (children first), with optional signal (default TERM)
+kill_tree() {
+  local pid="$1"
+  local signal="${2:-TERM}"
+  if [[ -z "${pid:-}" ]]; then
+    return
+  fi
+  # Kill children first
+  local children
+  children=$(pgrep -P "$pid" 2>/dev/null || true)
+  if [[ -n "${children:-}" ]]; then
+    for child in $children; do
+      kill_tree "$child" "$signal"
+    done
+  fi
+  # Then the parent
+  kill -"$signal" "$pid" 2>/dev/null || true
 }
 
 cleanup() {
+  # Ensure this runs only once even if multiple signals (INT/TERM/EXIT) arrive
+  if [[ $__CLEANED_UP -eq 1 ]]; then
+    return
+  fi
+  __CLEANED_UP=1
+
   echo -e "\n${YELLOW}[CLEANUP]${RESET} Stopping services..."
-  
+
-  # Kill process groups to ensure all child processes are terminated
+  # Gracefully stop trees for backend and frontend, then escalate if needed
   if [[ -n "${BACKEND_PID:-}" ]]; then
-    kill -TERM -"$BACKEND_PID" 2>/dev/null || kill "$BACKEND_PID" 2>/dev/null || true
+    kill_tree "$BACKEND_PID" TERM
   fi
   if [[ -n "${FRONTEND_PID:-}" ]]; then
-    kill -TERM -"$FRONTEND_PID" 2>/dev/null || kill "$FRONTEND_PID" 2>/dev/null || true
+    kill_tree "$FRONTEND_PID" TERM
   fi
-  
+
-  sleep 1
+  # Wait up to ~3s for graceful shutdown
-  
+  for _ in 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15; do
-  # Force kill any remaining processes on these ports
+    local backend_alive=0 frontend_alive=0
+    if [[ -n "${BACKEND_PID:-}" ]] && kill -0 "$BACKEND_PID" 2>/dev/null; then backend_alive=1; fi
+    if [[ -n "${FRONTEND_PID:-}" ]] && kill -0 "$FRONTEND_PID" 2>/dev/null; then frontend_alive=1; fi
+    if [[ $backend_alive -eq 0 && $frontend_alive -eq 0 ]]; then
+      break
+    fi
+    sleep 0.2
+  done
+
+  # Escalate to KILL if still alive
+  if [[ -n "${BACKEND_PID:-}" ]] && kill -0 "$BACKEND_PID" 2>/dev/null; then
+    kill_tree "$BACKEND_PID" KILL
+  fi
+  if [[ -n "${FRONTEND_PID:-}" ]] && kill -0 "$FRONTEND_PID" 2>/dev/null; then
+    kill_tree "$FRONTEND_PID" KILL
+  fi
+
+  # As a final safeguard, free the ports
   kill_port "$BACKEND_PORT"
   kill_port "$FRONTEND_PORT"
-  
+
-  wait 2>/dev/null || true
   echo -e "${GREEN}[CLEANUP]${RESET} All services stopped."
 }
 
@@ -116,8 +164,8 @@ main() {
   kill_port "$BACKEND_PORT"
   kill_port "$FRONTEND_PORT"
   
-  echo -e "${GREEN}[BACKEND]${RESET} API:   http://127.0.0.1:$BACKEND_PORT"
+  echo -e "${GREEN}[$(date '+%Y-%m-%d %H:%M:%S')] [BACKEND]${RESET} API:   http://127.0.0.1:$BACKEND_PORT"
-  echo -e "${CYAN}[FRONTEND]${RESET} APP:  http://127.0.0.1:$FRONTEND_PORT\n"
+  echo -e "${CYAN}[$(date '+%Y-%m-%d %H:%M:%S')] [FRONTEND]${RESET} APP:  http://127.0.0.1:$FRONTEND_PORT\n"
 
   run_backend & BACKEND_PID=$!
   run_frontend & FRONTEND_PID=$!

scripts/test-employees.py

@@ -10,7 +10,7 @@ import json
 # 添加项目根目录到Python路径
 sys.path.append(os.path.join(os.path.dirname(__file__), '..', 'backend'))
 
-from app.services.tushare_client import TushareClient
+from tushare_legacy_client import TushareLegacyClient as TushareClient
 
 
 async def test_employees_data():

scripts/test-holder-number.py

@@ -11,7 +11,7 @@ from datetime import datetime, timedelta
 # 添加项目根目录到Python路径
 sys.path.append(os.path.join(os.path.dirname(__file__), '..', 'backend'))
 
-from app.services.tushare_client import TushareClient
+from tushare_legacy_client import TushareLegacyClient as TushareClient
 
 
 async def test_holder_number_data():

scripts/test-holder-processing.py

@@ -11,7 +11,7 @@ from datetime import datetime, timedelta
 # 添加项目根目录到Python路径
 sys.path.append(os.path.join(os.path.dirname(__file__), '..', 'backend'))
 
-from app.services.tushare_client import TushareClient
+from tushare_legacy_client import TushareLegacyClient as TushareClient
 
 
 async def test_holder_num_processing():

scripts/test-tax-to-ebt.py

@@ -9,7 +9,7 @@ import json
 # 添加 backend 目录到 Python 路径
 sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "backend"))
 
-from app.services.tushare_client import TushareClient
+from tushare_legacy_client import TushareLegacyClient as TushareClient
 
 async def test_tax_to_ebt():
     # 读取配置获取 token

scripts/tushare_legacy_client.py

@@ -0,0 +1,41 @@
+import sys
+import os
+import asyncio
+from typing import Any, Dict, List, Optional
+
+# Add backend to path to import TushareProvider
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "backend"))
+from app.data_providers.tushare import TushareProvider
+
+class TushareLegacyClient:
+    """
+    An adapter to mimic the old TushareClient for legacy scripts,
+    but uses the new TushareProvider under the hood.
+    """
+    def __init__(self, token: str):
+        if not token:
+            raise ValueError("Token must be provided.")
+        self.provider = TushareProvider(token=token)
+
+    async def query(
+        self,
+        api_name: str,
+        params: Optional[Dict[str, Any]] = None,
+        fields: Optional[str] = None, # Note: fields are not used in the new provider's _query
+    ) -> List[Dict[str, Any]]:
+        """
+        Mimics the .query() method by calling the provider's internal _query method.
+        """
+        # The new _query method is protected, but we call it here for the script's sake.
+        return await self.provider._query(api_name=api_name, params=params, fields=fields)
+
+    async def aclose(self):
+        """Mimic aclose to allow 'async with' syntax."""
+        if hasattr(self.provider, '_client') and self.provider._client:
+            await self.provider._client.aclose()
+
+    async def __aenter__(self):
+        return self
+
+    async def __aexit__(self, exc_type, exc, tb):
+        await self.aclose()